Hugging Face is an open source platform that provides tool and resources for working on NLP and computer vision projects.Hugging face is a popular in the machine learning community due to its stress on community collaboration, efficiency and chance to build a professional portfolio.The platform offers tokenizers, machine learning datasets model hosting for training and Implementing AI models.Hugging Face is a community and data science platform that provides

• A place where a vast community of ML engineers, data scientists and researcher can come together and share ideas contribute to open source codes and get help.
• Tools that assist users to deploy ML models, train and build open source technologies and codes.

What is Hugging Face?

Hugging Face is a company and open source company focused on the field of AI.It provide a platform to collaborate, learn and share work in NLP and computer vision.Hugging Face aims to provide people with all necessary tools, resources and libraries needed to work on NLP models for their benefit. It start in 2016 came from emoji hugging face to look caring.It changes from chatbot app to mobile app.Hugging Face is more than an emoji.It perform as a hub for AI experts such as AI or GitHub.Hugging Face is an open source machine learning platform and data science.It published as chatbot app for teenagers in 2017. Hugging face developed after several years to be a place where you can host your own AI models, collaborate with your team and train them.You can also search and use models generated by other person look for and use datasets, test demo projects.Hugging Face is an open source platform to solve AI. Hugging Face provide the tool to involve several people in shaping the artificial intelligent tools of the future.

Hugging Face provides the infrastructure to run, deploy and demo artificial intelligence in live apps. Hugging Face is known as GitHub of machine learning because it allows developers to test and share their works.Users can also search data sets and models that other peoples have uploaded.Hugging Face is popular for its Transformers Python Library which simplifies the process of training ML models and downloading.The Library helps developers to include to include one of the ML models hosted on Hugging Face in their workflow and create ML PipeLines.

How is Hugging Face used?

Hugging Face is an AI supporting community and platform.The community used Hugging Face for following tasks

Host Demos

Hugging Face allow users test and showcase models more simply.This allow users in browser demo of machine learning models and generate interaction.

Discover and Share Data Sets

Developers can discover data sets to train their models and share data sets for training machine learning models through the dataset library.

Evaluate ML Models

Hugging Face provides access to a code library for data sets and evaluating machine learning models.

Implement machine learning models

User can upload machine learning model to the platform.There are models for variety of tasks like computer vision, audio and image generation.

Develop business applications

Hugging Face Enterprises Hub allow business user in a privately hosted enviroment with data sets and open source libraries.

Research

Hugging Face has been involved in research projects mission to progress the field of NLP.The site also has a page where only research papers are listed.

Benefits of using Hugging Face

Hugging Face with its open nature and communal behavior provides the following facilities to end users

Community

Hugging Face provides access to a huge community, continously upgraded tutorials, documentation and models.

Prototyping

Hugging Face allows swift prototyping, deployment of ML and NLP apps.

Save Money

Hugging Face provides scalable solution for businesses.It is less in cost.Building huge models from zero can be costly and using Hugging Face hosted model is save your penny.

Accessibility

Hugging Face facilitate end user with pre trained models,, APIs and scripts for deployment of ML and NLP apps.

Integration

Hugging Face assist users integrate multiple ML frameworks.

Why use Hugging Face?

Hugging Face is most popular in the machine learning society for various reasons.One of superb feature of Hugging Face is the ability to generate your own AI models.This model will be hosted on the platform facilitate you to upload all necessary files, keep track of version, insert more data about it.You can manage the model with your models publics or private.You can determined when to launch them to the universe or not. It also help you to generate discussion directly on the model page which is good for collaborating with others and managing pull requests.You do not need to host the model in another platform you can initiate it directly from Hugging Face send requests and pull the outputs into any app.The platform is very important due to its deployment tools and open source nature. It permits user to share model,resources and research and to decrease resource consumption, model training time. You can browse from Hugging Face model if you are new one.There are more 200,000 models available.

Accessibility

Hugging Face assist democratize NLP by providing access to pre trained model researchers, businesses and developers.

Efficiency

Provide all necessary tools and documentation to initiate training and building model in one platform reducing the complexity of model development.

Professional Portfolio

You can create a professional portfolio in Hugging Face and earn a AI related Jobs, training and development.

Community Collaboration

The open source nature of hugging face provides a platform that encourages collaboration and knowledge sharing in machine learning community.

How to sign up for Hugging Face

Hugging Face is free to sign up for as a community user.User get a repository where they can store datasets, spaces and models.Hugging Face also offers a paid pro account that give user access to more facilities and business account at a much higher rate.The business account adds more customer support, accessibility and security. After creating an account user can do the following;

• Look the activity feed
• Access the Hugging Face Hub
• Create private repositories or organization
• Explore their profile and adjust settings
• Start a Space, Dataset or Model
• Discover the latest trend within Hugging Face community
• Access useful ML documentation and resources

Hugging Face Features

Hugging Face Hub features are following;

Spaces

Machine learning model on their technical knowledge to implement and use.Hugging Face provides the computing resources to host demos.Spaces does not require any technical knowledge to use.Some examples of Hugging Face spaces include the following

Image to Story

User can upload an image and LLM uses text generation to write a story based on it.

Models

Hugging Face hosts a huge library models.There are more than three lacs models on Hugging Face.Hugging Face also host open source ML models on the platform.

Datasets

Datasets assist train model to understand relationship between data.Hugging Face facilitate user to access data sets uploaded by the community. imdb is one example which contain a collection of movie reviews and wikipedia which contain data from wikipedia.

What is Hugging Face Used For?

Education

Hugging Face provide all essential tools and models.This would include tutorial and documentation how to use tools and train model from start to finish.

Tokenizers

Hugging Face provides tokenizers to break down data into smaller units.The platform offers tokenization libraries for various languages making it easier to prepare text data.

Datasets

Hugging Face allow members to download datasets for anyone to improve and use this project.Hugging Face play a key role in the advancement of NLP technology.The platform provide all the assets, tools documentation to learn machine learning for specific needs.

Hugging Face and AI ecosystem

Hugging Faces introduces a friendly method to AI progress in contrast with other AI businesses.Hugging Face will provide AI models to the developers.Hugging Face main goal is to provide access to common users.

Your passwords are the key to your online existence.It is the gateway to your payment portals, home security system and social media accounts.Google free password manager integrate with its other services and permit to access your password from any browser or device but how safe it is.

Why Should Use Google Password Manager

If you use Google Chrome it is wise to use the integrated password tool.To look save passwords whether you logged in on chrome or not you can visit the Google domain in your browser it is simple.You only remember your Google password.

What is Google Password Manager?

If you surf the web using Google Chrome Browser or using Android mobile you have came across Google Password Manager.When you enter your login detail on any website you will see a prompt asking if you desire to save password. You typically have two choices Save and never.

After clicking save if you visit the same website chrome will be able to fill in your login credential i.e user name and password with out needing to remember them.

How Secure is Google Password Manager?

Google is one of the best tech companies in the world.If use various authentication with your Google Account the account and passwords detail you store online are very much secure.Google Password Manager main danger lie on your PC there are two methods that attacker could reach to your account.

Fist way an attacker can use by using database file.An attacker need to know three things that an account exists with a special service, the password and the user name associated with account.

In the database file on your PC these first two factors are in plain text and only password is encrypted.If an attacker control to copy this away from your PC it can be cracked at the leisure.List of services and usernames and passwords are also available in online marketplace.Attackers may use malware file on your PC in order to steal the file.

Other method attacker can use by access physically to your system.If they manage to crack your system password they would be able to download all of your login information without encryption.

Where Does Google Password Manager Store Your Password?

If you are not logged in you can enter chrome://password-manager/passwords into the URL bar.If you are logged in your locally store chrome passwords will be save to passwords.google.com.

To access your passwords without entering a URL you need to install Google Password Manager locally To do this click on the menu icon in the top right of the chrome app and choose Install Google Password Manager than install when prompted.

Who is better Online Password Manager vs Google Password Manager

Online password manage store all of your password in an encrypted vault. These vaults are secured by a master password.These online dedicated password manager are not very much safe and hacker can hack them with much effort.

There is no safe and secure method to protect your username and password from criminals.

ChatGPT can create a miracle. But you must be aware when you know how much private information it collects from you. ChatGPT and OpenAI have received lot of criticism from privacy experts, user and governments who are very keen about its data retention policies.ChatGPT privacy policy tells us every detail about its data retention habits. It collect its information from three ways:

Information that you type into chatbot itself.

Account information that you enter when you sign up or pay for a premium plan.

Identiying information from your device like your location and IP address.

Every site has taken the information when you make an account so it is not dangerous.Real danger start when it collect data from your conversation with ChatGPT.When you are using AI tool it is easy to give them information by mistakenly.

What Data Does ChatGPT store?

Your Device Information

ChatGPT store infromation from your device and browser.This include date, time, location and IP address.ChatGPT also collect data about your operating system and device name.OpenAI using cookies to track your browser activity.It claim to use the information for analytics and how you interact with ChatGPT.ChatGPT records and stores transcripts for your conversations.This mean any information you put into the chat like personal information is logged.

Your Account and Billing Information

Open AI stores your contact details, login credentials, transaction records and payment information.If you sign up a premium account.This information is basic and any website have such information to collect it from you.If you email the company it records your name, email address and your message.

Does ChatGPT record your conversation?

Yes ChatGPT records everything you type into it.According to its privacy policy when you use ChatGPT it gather personal information from your texts, feedback you provide and file you upload.This create a cybersecurity danger. It also states that your chat is reviewed by AI trainer to improve the train and chat system.So your data is used for advantage of OpenAI.

Open AI in April 2023 introduce a new feature to ChatGPT. This feature permit users to disable chat history easily via setting menu. Setting > Data Controls>Chat History & training.When chat history is disable after 30 days conversation are deleted permanently.Conversation are only reviewed when they need to be monitored for abuse.

Who can see My ChatGPT Data?

Your personal information is available to a huge number of people and entities.In its privacy policy OpenAI share data with

• Other businesses
• Affiliates
• Legal entities
• AI trainers
• Vendors

OpenAI gives unobvious data about who shares your data with and for what reason.It provides your personal information to vendors to assist in meeting business desire and various functions.These providers include web hosting services, cloud services and IT providers.It may share your data with law enforcement agencies in order to protect other users, public or itself legal liability.OpenAI share data with other businesses like drug transactions, bankruptcy and reorganization.OpenAI also share your information with its affiliated too.

ChatGPT Safe or Not Final Verdict

ChatGPT collect a lot of data about you.Some of the information they get is pretty normal.But you need to take step to protect your data while using ChatGPT conversation.You need to remove any private data from your prompts before you hit submit.

Ai systems has features of speed, accuracy that impact their utilization and effectiveness.These are key features many users desire to see.The development of large language models has come with various challenges including privacy, focus and content.Claud is one of the superb chatbots in the market with various purpose, superb design and its only getting better.

What is Claude?

Claude is an AI chatbot designed to be harmless and helpful.In the market it is available in three versions Claud Instant, Claude 2 and Claude 1.Claude 1 is predecessor of Claude 2.It trained with a huge dataset to perform better with a huge context window. Claude Instant is a rapid and less costly model suitable for summarization, text analysis document base queries and conversations.

Feature of Claude Instant

Claude Instant model size is 100k tokens. It has context windows of 75,000 tokens.Its performance is good at casual tasks.Capabilities casual dialog, text analysis, summarization and documents.

Feature of Claude 1

137B parameters of model size. $32.68/million tokens have cost.Context window has 75000 tokens.It has performance good at complex tasks.It can create content generations detailed instructions.

Feature of Claude 2

It has model size of 175B parameters.It has cost of $32.68/million tokens.Context window has 100,000 tokens.It has excellent at complex tasks.

Claude is trained on filtered dataset ensuring harmful content exclusion and Anthropic monitors.All version of Claude are trained on huge text and code dataset enabling them to perform various role.These tasks including emails, music,scripts, code, poem. Claude also excellent at answering question and collaborate with humans on creative project.

Ways you can use Claude

There are many methods you can use application for Claude.

Coding

Claude can assist with coding tasks.It can debug errors, generate code snippets, suggest improvement and it is powerful app for software developers.

Text Summarization

Claude LLM techniques are useful for taking key point from text sources.

Search Capabilities

Claude can shift through documents web pages and vast database documents to pinpoint the exact information you need with remarkable accuracy.

Question & Answer

Claude can provide correct detailed answer of various queries. You can use Claude to anwer it.

Creative Writing

Claude is a creative partner tool.It can generate ideas, edit work and draft content.Making it valuable asset for content creators and marketers.

Why Should you use Claude?

Claude is superb AI chatbots tools

Speed and Accuracy

Claude can process huge amount of data in a fraction of the time it work. Claude uses advance algorithms and machine learning to ensure accurate result.

Efficiency

You can use Claude to automate repetitive actions and free up your time to focus on more aspects of your work.

Harmlessness

Claude is harmless. It is designed to help human by increasing their capabilities.

Insight

Claude can provide valuable insight into manual information.

Claude offers best AI chatbot features and its unique approach to training mean it is more protective and swift than other AI tools.

How to Use Claude Instant, Claude 2 and Claude 1

Claude is only available in US or UK at Claude.ai.Anthropic provides an API for interacting with Claude.Claude can remember your entire slack thread from websites you share with it.The web console permit you to access Claude capabilities before integrating into technical setup.Once you can access the console you can generate API keys and initiate with the AI.

Claude 2 is better than Claude 1.It has large number of parameter and large context window. It has reduced generating harmful data.

You can use ChatGPT for contextual and correct translation.ChatGPT is emerging as a reliable translation tool.Trained on a huge text in various languages and deployed on a conversational interface.ChatGPT offers flexibility in translation importantly traditional tools can offer.

How to Translate Languages with ChatGPT

Translating with ChatGPT is simple.ChatGPT is a generative AI tool.You only provide text you desire to translate and the language you desire to translate it and ChatGPT control the rest.You can customize ChatGPT language translation outputs, translation scenario and adjust various aspects.

Replicate Linguistic Form

ChatGPT is a translation tool and able to transform replicate linguistic.Simply substituting various shapes in other language may not preserve entertainment value.Choice of words is always important to creating entertainment value.To preserve the taste of jokes and artistic work requires maintaining original creative language use.Poems and Jokes lose flavor when important language requires get fail in translation.

You can obtain result to instruct ChatGPT at least some resemblance of its real value.This can be gained by instructing ChatGPT to retain its original shape With a few prompt changes you can more real result.

Use Cusom Instruction for consistency in Translation

ChatGPT custom instruction feature can assist to solve that problem.This trait allow you to create reusable translation instructions that ChatGPT will remember across all conversations.You can use it for preferred translation just once and ChatGPT will apply automatically whenever you request ChatGPT to translate something.

Use Style Transfer

When translating text the translation looks difficult for the target viewers.Using Style transfer in ChatGPT can assist the style and tone of a translation to compete the target industry.If you are translating a legal document the translation could retain the author meaning.With prompt tweak and style you can get better result.

Account for Regional Differences

Some words have different meaning depending on the countries or regions of the speaker.Ordinary translation tools have no method to account for this potential misinterpretation. ChatGPT on the other hand provide translation depending on the speaker origin.

Why use ChatGPT for Translation

DeepL, Microsoft Translator and Google Translate are famous translation services on the internet.What make ChatGPT a good translation tool?ChatGPT interactive make it super tranlation tool.With other translation tool you provide a text you get a translation.With ChatGPT you can customize translation to suit your specific desire and provide feedback on adjustment you would love to see.Translating with ChatGPT is fast and super accurate.

AI is creating miracle in current era.Can you trust Generative AI to make financial decisions for you? AI provide convenient and less expensive financial advice.AI gives edge to financial decisions making by analyzing huge amount of data, eliminating sentimental bias and offering insights.There are various reasons to consider AI for financial decision cost consideration, sentimental needs, risk avoidance and financial condition.Dependency on AI completely has drawbacks.AI can’t understand financial circumstances and goals it does not consider life broader life situation, have faults and lacks emotional help.

Factors to Consider Before Using AI for Financial Advice

The decision to trust AI for financial advice depends on preferences and circumstances.Here are some factors to keep in mind

Budget Consideration

AI driven financial advice is less costly than human advisors.If you have budget constraint AI is more practical.

Risk

Your Risk tolerance maintain a crucial role in your financial determination.AI system does not consider individually risk factor it is sensible to consider a human expert.

Difficulty of your Financial Situation

If your financial circumstances is easiest AI is sufficient enough for guidance.If situation is more complex than you need a human expert for advice.

Emotional Requirement

Human Advisor can offer the emotional attachment and sympathy you need on financial related matters. However AI is less effective in this case.

Hybrid Approach

Hybrid approach is very good combining AI with human financial advisor.This way you can be benefit from AI and insights of human expert.

Should You Trust AI for Financial Advice?

ChatGPT models main focus is on the long term aspect.Google AI system focuses on the importance of investing for the long term and diversifying it.

Understanding the Progress of AI in Finance

AI uses its huge amount of data, processing power to rapid look at a thousand of data figure out patterns.AI has made personal growth tools very famous among people and finance.There is lot of pros and cons of using AI for financial advice.

Disadvantage of AI Models for Financial Advice

AI systems are not full prove to inaccuracies. AI advice without verification can expose you to financial disadvantage.AI minute error on market event can guide to huge loss.These AI systems can not understand your financial conditions.They work on the basis of previous algorithms.Financial decisions are personal and on size fit all approach can lead poor results.

AI system can not provide the broader context of your financial life.Life event like of superannuation, child marriages can impact your financial decisions.AI only advice you simply not considering the factor of your life. AI does not offer emotional support.AI lacks the human sympathy that a human financial advisor can provide.

Advantage of AI Models for Financial Advice

AI system bring a various advantages to the financial decision making.AI advantage is it reduce emotional bias.Human emotions often crowd with judgement when making financial decision.AI like of Bard make their decision only base on data.This emotional approach increase the quality of advice.AI is available 24/7 hours. There is no time restriction you can easily get advice without scheduling appointments.AI is less costly than human financial advisor.Their affordability makes its easily available for million of users.

Trusting AI for financial decision without verifying is a suicide.

Bitcoin is one of cryptocurrency.Unlike dollar cryptocurrency is not controlled by any government or central bank.The currency work like stock market where sellers and buyer can trade their local money for bitcoin or vice versa.Bitcoin value is different and depend on the investor some thing that bitcoin real value is higher than market price.

Who Set Bitcoin Price

Bitcoin price is set by demand and supply of Bitcoin.If more people desire to sell than buy prices will likely decrease and vice versa.This is same like of real estate and open marketplaces.When an open sell order and buy order meet at common price the order completes. The final trade price is the current bitcoin value.Some exchange list different bitcoin prices. Some exchanges operate independently of the open market and serve only their members.

How do you track the value of bitcoin?

Bitcoin value depend on investing goals and financial situations. If you have an account at an exchange brokerage such as eToro or Gemini can view the current price in your account online.You can check Bitcoin price publicly at any exchanges and market websites.

What is the highest value ever reached for one bitcoin?

The price of bitcoin reached $66,878 for a single bitcoin. Since then 50% down the price of one bitcoin i.e $30,000.

Bitcoin Value vs Valuation

When selling or buying any financial product it is key to differentiate between price, valuation and value.Valuation is analysis of an investment.The Value is the current price any one pay for something right now.Bitcoin value is the current market price its valuation is difficult to think.