Day-4: Hugging Face API + Langchain | How to use Hugging Face & It's Applications

Buckle up for Day 4, where we delve into the exciting world of Hugging Face API and Langchain!

This live tutorial is your passport to mastering these powerful tools. We'll answer all your burning questions, including:

What is Hugging Face API? Unravel the mystery of this free platform brimming with pre-trained AI models for text, code, images, and more!

Unlocking the potential: Learn how to access and utilize Hugging Face's vast library of models, from sentiment analysis to text generation.

Dive into Langchain: Discover this innovative search engine for AI models, making it easier than ever to find the perfect tool for your needs.

Mastering prompt templates: Learn how to craft powerful prompts for generating creative text formats with Langchain.

Building real-world applications: Witness the magic of Hugging Face and Langchain in action, exploring inspiring use cases across various industries.

No prior experience is needed! We'll guide you through everything step-by-step, ensuring you leave confident and ready to unleash the power of AI in your projects.

This video is packed with:

Live coding demonstrations: Watch us put theory into practice!

Clear explanations: We make complex concepts accessible to everyone.

Bonus resources: Access all the codes and other materials from the iNeuron course dashboard!

Ready to unlock the full potential of Hugging Face and Langchain? Hit play and join the AI revolution!

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[Bani_Maini]

Excellent course! Thank you for for starting with the basics!

[shanuagrawal]

I am watching from fiirst part, One of Best series on GenAI, Thank you Sir for Amazing Effort

[funnybonner]

Thank you so much sir for providing such content at free.

[gouthamraju]

really..learned a lot❤..Thank you sir for your Efforts

[dayakarejnavarzala]

very detailed and thank you for the hard work

[ashwinijalla]

In lang chain we are actually using openAI api client and just giving the prompt using client.predict() method but there it was not passing any model name like gpt-3 turbo. So which model does langchain uses as default?

[Tiger-Tippu]

@ineuron intelligence, please explain when to use Agents

[vikash]

Can you please make the video of direct fine tuning

[Tiger-Tippu]

Why agents required, why not we connect directly to api and extract the info we look

[ashwinijalla]

​Can GPT-3 distinguish between current and unreliable sources of information?

[kashishvarshney]

sir ChatGPT 4 showing this message "Writing a Langchain agent to call a third-party API involves a slightly different approach. Langchain typically integrates with OpenAI's language models and other components, allowing you to create agents that perform various tasks. However, direct interaction with external APIs through Langchain agents isn't a standard feature as Langchain primarily focuses on language understanding and generation."
I want to add third party api url, payload and response. Is this possible to add in langchain?

[piyushgandhi]

You don't explain things properly, along with poor presentation.

[ridj]

make videos using huggingface as well, sinnce openAI is not accessible for free, and neither does their oayment system work well so unable to use their APIs(many many people)

[kashishvarshney]

you didn't explain agents properly