LongRoPE and Theta Scaling for Extended Context Length in LLMs - Part 2
Delve into advanced techniques for extending LLM context lengths through LongRoPE and Theta Scaling, exploring methods to enhance model performance from 8K to 4M tokens.
FASTER Code for Supervised Fine-Tuning and DPO Training with UNSLOTH
Explore practical implementation of UNSLOTH for accelerated Supervised Fine-Tuning and DPO-Alignment of LLMs using Jupyter notebooks with HuggingFace compatibility.
Mistral 7B: Architecture, Performance and Implementation Guide
Dive into Mistral 7B's implementation, exploring grouped-query attention, efficient GPU usage, and hands-on demonstrations for running advanced language models on local hardware.
Mistral 7B - Understanding the Architecture and Performance Improvements
Dive into the technical innovations of Mistral 7B, exploring its groundbreaking attention mechanisms, caching strategies, and performance improvements over existing language models.
Tool LLM for API Calls - Understanding Fine-Tuned Language Models for API Performance
Explore how Tool LLama, a fine-tuned LLM, leverages API capabilities through ToolBench dataset to achieve ChatGPT-level performance in handling API interactions.
Stanford ALPACA 7B LLM: Fine-tuning Guide with Code and Datasets
Discover how to fine-tune and implement Stanford's ALPACA 7B language model using LLaMA, exploring practical applications and cost-effective methods for creating custom AI solutions.
Uncertainty, Prompting, and Chain-of-Thoughts in Large Language Models - Part 2
Dive into advanced AI concepts including temperature scaling, Bayesian calibration, prompt-based finetuning, and chain-of-thought techniques for more reliable and explainable language models.
Llama Index - Step by Step Introduction
Step-by-step guide to using Llama Index for document storage, indexing, and querying with customizable LLM settings and prompt helpers. Learn to create, manage, and interact with vector store indexes efficiently.
FATE-LLM - Empowering Large Language Models with Federated Learning
Explore FATE-LLM, integrating federated learning with large language models to address data privacy concerns. Learn about its components, implementation on Kubernetes, and real-world applications.
Test Time Compute: Verifiers and Parallel Sampling - Part 2
Explore advanced inference techniques using verifiers, parallel sampling, and prompt optimization to enhance language model performance and accuracy.
LangChain and OpenAI Tutorial - Building a Q&A System with Custom Text Data
Learn to build an AI-powered Q&A system using LangChain and OpenAI. Explore text embeddings, vector stores, and agent chaining to create a custom question-answering tool with your own data.
LLaMA2 - What Are the Changes?
Explore the advancements in LLaMA2, including new base models, performance comparisons, and insights into its development and deployment on various platforms.
Investigating the Code Llama Models and Fine-Tuned Alternatives
Explore Code Llama models and fine-tuned alternatives, comparing their capabilities, benchmarks, and recent developments in AI-powered coding assistance.
Experimenting with Alpaca & LLaMA
Explore Alpaca and LLaMA models in real-time, gaining hands-on experience with cutting-edge language AI technologies and their practical applications.
What's LLaMA? ChatLLaMA? - And Some ChatGPT/InstructGPT
Explore LLaMA, ChatLLaMA, and other language models, understanding their capabilities, differences, and potential applications in AI and natural language processing.
Alpaca & LLaMA - Can it Compete with ChatGPT?
Explore Stanford Alpaca's capabilities, learn inference techniques, and compare its performance to ChatGPT in this step-by-step tutorial on setting up and optimizing the model.
Open LLaMa in LangChain and Hugging Face
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.
Llama Index 101 with Vector DBs and GPT 3.5
Explore Llama-index with Pinecone vector database for semantic search and LLM retrieval augmentation. Learn about Documents, Nodes, vectorstore objects, and making queries in this practical tutorial.
How to Run LLaMA-2-70B on the Together AI
Learn to run LLaMA-2-70B on Together AI's platform. Explore the API, playground, and documentation. Gain hands-on experience with code implementation for this powerful language model.
Chat with Multiple PDFs Using Llama 2 and LangChain - Use Private LLM and Free Embeddings for QA
Learn to build a chatbot using Llama 2 and LangChain to answer questions from multiple PDFs. Explore private LLM integration, vector stores, and efficient document retrieval techniques.
GPT-4 Codes Near Perfect Llama Index Code Using Vector DB from Documentation
Learn to crawl documentation, extract code blocks, create datasets, and build Llama Index applications using GPT-4 and vector databases. Explore similarity search and generate complete applications from simple descriptions.