GPT-4 vs Open Source LLMs: Epic Rap Battles Test Creativity with AutoGen
Witness open-source LLMs battle GPT4-Turbo in freestyle rap, showcasing linguistic creativity. Compare Wizard LM 70B, Orca-2 13B, and Mistral 7B against the advanced benchmark.
Building Chatbots with Hugging Face LLMs - 5 Expert Tips
Discover 5 expert engineering tips for building chatbots using open-source LLMs like Mistral. Learn crucial technical nuances for transitioning from proprietary APIs to open-source models.
Building Custom AI Agents: Beyond CrewAI and AutoGen
Develop a custom web search AI agent in Python. Learn why building your own agents can be more effective than using existing frameworks for AI and multi-agent workflows.
Build Your Own Local "Perplexity" with Ollama - Deep Dive
Develop a custom web search agent running locally using Ollama and Llama 3. Learn to build, test, and compare with different models in this comprehensive technical deep dive.
LangGraph Simplified: Master Custom AI Agent Creation - Web Search Agent Tutorial
Simplify LangGraph concepts and create a custom web search AI agent through a Python tutorial. Learn core principles and practical implementation for AI development.
LangGraph AI Agent Upgrade: Integrating Groq, Gemini, and Chainlit Front End
Upgrade a LangGraph AI agent with Groq, Gemini, and Claude integrations, fix bugs, and create a stylish Chainlit front-end for web searching capabilities similar to Perplexity.
Meta-Prompting Technique for Building High-Level AI Agents
Explore meta-prompting techniques to build flexible AI agents. Learn implementation, web search integration, and evaluate strengths and weaknesses of this powerful prompt engineering approach.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
AI Agent for Deep Web Search with O1 Preview - Open-Source Alternative to Perplexity
Explore Jar3d, an open-source AI agent for deep web research using LangGraph and o1-preview. Learn its setup, capabilities in complex tasks, and advantages over traditional search engines.
How Well Do Sparse Models Transfer? - Exploring Transfer Performance in Computer Vision and NLP
Explore sparse models' transfer performance and efficiency gains in image and language tasks, outperforming dense models even at high sparsities.
Data Extraction with Large Language Models
Master data extraction techniques using large language models for efficient and accurate information retrieval from various sources. Enhance your skills in JSON and YAML extraction, and compare model performances.
Improving LLM Accuracy with Monte Carlo Tree Search
Explore Monte Carlo Tree Search to enhance LLM accuracy, focusing on boosting Llama 3 8B performance. Learn implementation, testing, and limitations through code examples and mathematical problem-solving.
RAG with Verified Citations - Advanced Inference Techniques
Explore advanced RAG techniques with verified citations, including BM25 and cosine similarity methods. Learn to implement and leverage one-click document RAG for improved accuracy.
Predibase: A Low-Code Deep Learning Platform Built for Scale
Explore Predibase: a low-code deep learning platform combining large-scale ML with state-of-the-art architectures for NLP, computer vision, and tabular data, built on Ludwig and Ray for scalable, end-to-end solutions.
Scalable Training of Language Models Using Ray, JAX, and TPUv4
Explore challenges and design decisions for scalable language model training, with quantitative analysis of efficiency improvements using Ray, JAX pjit, and TPUv4.
Alpa: Simple Large Model Training and Inference on Ray
Explore Alpa, a Ray-native library for automated model-parallel training of large deep learning models, optimizing execution plans and scaling complex architectures efficiently.
Enterprise Vector-based Information Retrieval and Prompt Engineering at Scale Using Open Source on AWS
Build enterprise-scale vector-based information retrieval systems using open source technologies on AWS, addressing challenges in Retrieval Augmented Generation for accurate, hallucination-free results.
Building Context-Aware Reasoning Applications with LangChain and LangSmith
Explore context-aware reasoning in LLM applications. Learn about cognitive architectures, LangChain, and LangSmith for building differentiated AI products. Gain insights on evaluation and practical techniques.
Understanding the Landscape of Latest Large ML Models
Explore the evolving landscape of large ML models, from ChatGPT to open-source projects. Learn how teams use W&B to accelerate development and stay ahead in the rapidly advancing field of AI.
Advanced RAG Scenarios: Building Your Own Database Agents - Developing AI Agents for Natural Language Database Interaction
Develop AI agents for natural language database interactions, enabling efficient data querying and analysis without advanced SQL knowledge.
Linear Structures in Transformer Embedding Spaces
Explore linear structures in Transformer embedding spaces, examining anisotropy, BERT's next sentence prediction, layer behavior, and multi-head attention modules.