
Learn about Meta AI's OPT-175B language model, including a live demo and hands-on coding for text generation using Hugging Face Transformers. Explore this open-source alternative to GPT-3.

Learn to create an image captioning app using ViT and GPT2 models from Hugging Face. Build a Gradio interface and deploy it on the Model Hub for easy access and sharing.

Learn to train and fine-tune PyTorch NLP models on Colab TPU using Hugging Face's Accelerate library for efficient multi-GPU/TPU implementation with minimal code changes.

Build and deploy a semantic search engine on Hugging Face. Learn NLP techniques, implement search algorithms, and create an API. Gain practical skills in context-aware search and sentiment analysis.

Learn to create an open-source chatbot using MPT-30B, a powerful language model, with LangChain. Explore implementation, tokenization, and building a functional chatbot on a single GPU.

Learn to implement Open-LLaMa in Hugging Face and LangChain, covering tokenization, stopping criteria, pipeline setup, and chatbot creation. Gain practical skills in open-source AI development.

Learn to build LLM + RAG pipelines using Hugging Face models on AWS SageMaker. Implement semantic search with MiniLM and Pinecone for enhanced AI applications.

Hands-on coding session building streaming inference into Hugging Face's text generation server, covering CUDA, Python, Rust, gRPC, WebSockets, and server-sent events for AI development.

Learn to add images to Hugging Face datasets using Python, covering tar file creation, dataset builder scripts, and best practices for efficient image handling in machine learning projects.

Explore efficient fine-tuning of large language models using PEFT and LoRA techniques, with a focus on practical implementation and uploading to HuggingFace Hub.

Learn to build state-of-the-art NLP pipelines using Hugging Face tools. Explore tokenization, transformer networks, and various NLP tasks like sentiment analysis and question answering.

Explore cutting-edge AI topics: generative models, Stable Diffusion, and Intel's optimizations for PyTorch 2.0 in these concise, informative lightning talks.

Learn to monitor and manage LLMs using LangKit, evaluating user interactions, configuring guardrails, and setting up alerts to prevent undesirable behavior in AI applications.

Comprehensive tutorial on LangChain, covering basics to advanced concepts with hands-on examples. Includes deployment of a Q&A chatbot using Hugging Face Spaces.

Explore Yi 34B, a powerful mid-sized AI model. Learn about its performance, versions, and potential applications. Discover insights from AI expert Kai-Fu Lee and see practical demonstrations.

Explore LLaVA, a cutting-edge open-access multimodal AI model. Learn about its capabilities, live demo, GitHub repository, research papers, and available models on Hugging Face.

Explore modern machine learning library design principles with Hugging Face's Diffusers Team Lead, focusing on open-source development and effective code reuse strategies.

Explore domain-specific language model adaptation and deployment using open source tools. Learn cost-effective techniques, optimization strategies, and ethical considerations for building powerful AI applications.

Explore open-source AI tools for visual art creation, featuring Stable Diffusion collaborations between developers and artists. Learn about innovative techniques and see generated artworks and physical responses.

Build generative AI applications using Langchain, Hugging Face, and AWS services. Learn to leverage open-source LLM models with AWS Bedrock for practical AI development and deployment.

Comprehensive guide on using IP-Adapter-FaceID for face transfer across Windows, RunPod, and Kaggle. Covers installation, customization, model conversion, and advanced features for seamless image generation.