Learn how to build a powerful review classification script using Python, Meta's Llama 3.1 405B language model, and GitHub Models in just minutes! In this tutorial, we'll dive deep into the world of natural language processing (NLP) and show you how to harness the incredible capabilities of Llama 3.1 405B, a state-of-the-art large language model (LLM) developed by Meta AI. We'll leverage the user-friendly platform of GitHub Models to streamline the process and create a robust review classification model.
GitHub Models is a platform that brings the power of large and small language models (LLMs) directly to the GitHub community. It's designed to democratize access to AI, empowering developers to build more efficiently and creatively.
Key Features and Benefits of GitHub Models :
▶ Access to top-tier models: GitHub Models provides access to industry-leading LLMs like Llama 3.1, GPT-4o, and more.
▶ Easy integration: These models can be seamlessly integrated into your development workflow, enhancing productivity.
▶ Experimentation playground: A built-in playground allows you to test different models and understand their capabilities.
▶ AI-powered coding: Generate code, explain code, and even debug with the help of these models.
▶ Customizable solutions: Build custom AI tools and applications tailored to your specific needs.
How GitHub Models is Changing the Game
By making AI more accessible, GitHub Models is fostering a new generation of AI engineers. Developers can now leverage the power of AI to:
▶ Automate repetitive tasks: Free up time for more complex problem-solving.
▶ Improve code quality: Identify potential errors and suggest improvements.
▶ Accelerate development: Generate code snippets and complete tasks faster.
▶ Explore new possibilities: Experiment with different AI approaches and innovate.
Llama 3.1 is Meta AI's latest and most advanced large language model (LLM). It's a significant improvement over its predecessors, offering enhanced capabilities and flexibility.
Key Features of Llama 3.1:
▶ Unmatched Performance: Demonstrates state-of-the-art performance across various benchmarks.
▶ Increased Flexibility: Enables new workflows like synthetic data generation and model distillation.
▶ Open-Source Philosophy: Like its predecessors, Llama 3.1 is open-source, fostering community innovation and development.
▶ Multiple Sizes: Available in 8B, 70B, and 405B parameter variants to suit different computational resources and task requirements.
▶ Sponsor me on GitHub : github.com/sponsors/bhattbhavesh91/
▶ Join this channel to get access to perks: bit.ly/BhaveshBhattJoin
▶ Join the Telegram channel for regular updates: t.me/bhattbhavesh91
▶ If you like my work, you can buy me a coffee : bit.ly/BuyBhaveshCoffee
*I use affiliate links on the products that I recommend. These give me a small portion of the sales price at no cost to you. I appreciate the proceeds and they help me to improve my channel!
▶ Best Book for Python : amzn.to/3qYThqu
▶ Best Book for PyTorch & Machine Learning : amzn.to/3PyUkdy
▶ Best Book for Statistics : amzn.to/3vzvHEn
▶ Best Book for BERT: amzn.to/3lpX0fz
▶ Best Book for Machine Learning : amzn.to/2P6aZuT
▶ Best Book for Deep Learning : amzn.to/30UMTGl
▶ Best Intro Book for MLOps : amzn.to/3AoPZmM
Equipments I use for recording the videos:
▶ 1st Laptop I use : amzn.to/3AqI8Fp
▶ 2nd Laptop I use : amzn.to/3KAiYsB
▶ Microphone : amzn.to/3qUPxtz
▶ Camera : amzn.to/3rKQsM2
▶ Mobile Phone : amzn.to/3nRHP1f
▶ Ring Light : amzn.to/33LedM5
▶ RGB Light : amzn.to/3KzLgmS
▶ Bag I use : amzn.to/3AsM3RZ
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.
Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.
You can find me on:
▶ Blog - bhattbhavesh91.github.io
▶ Twitter - _bhaveshbhatt
▶ GitHub - github.com/bhattbhavesh91
▶ Medium - medium.com/@bhattbhavesh91
▶ About.me - about.me/bhattbhavesh91
▶ Linktree - linktr.ee/bhattbhavesh91
▶ DEV Community - dev.to/bhattbhavesh91
▶ Telegram - t.me/bhattbhavesh91
#llama3 #githubmodels