Building Products with LLMs in Production - Panel Discussion
Explore key challenges and pitfalls in building LLM-based products, including costs, latency, and effective implementation strategies. Gain insights from industry experts on navigating the complexities of AI development.
Experiment Tracking in the Age of LLMs - MLOps Podcast
Explore experiment tracking in the age of LLMs with Neptune's CEO. Gain insights on managing ML experiments, prompt engineering, and achieving control and confidence in model development.
RAG Has Been Oversimplified - Exploring Complexities in Retrieval Augmented Generation
Explore the complexities of Retrieval Augmented Generation (RAG) beyond its oversimplified portrayal. Gain insights into practical challenges and nuanced considerations for developers working with RAG systems.
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines
Explore DSPy Assertions for enhancing language model pipelines with computational constraints, enabling more reliable and accurate systems through automatic prompt optimization and self-refinement.
Ax: A New Way to Build Complex Workflows with LLMs - MLOps Podcast
Explore Ax, a TypeScript library for building complex LLM workflows. Learn about prompt signatures, tuning, and composable prompts for RAG and agent-powered applications in production environments.
Prompt Engineering: OpenAI, GPT-4, and Mistral 7B Basics Introduction
Explore prompt engineering basics with GPT-4, GPT-3.5 Turbo, and Mistral 7B through practical examples and hands-on demonstrations.
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.
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.
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.
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.
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.
Introduction to Language Models - LLMs, Prompt Engineering, and Architectures
Explore language models, covering generative AI, LLMs, encoders, prompt engineering, and transformer architecture. Gain insights into embeddings, attention mechanisms, and model limitations.
The Future of AI: Prompt Engineering, Robotics, Scientific Discovery, and Chip Production
Experts discuss AI's future: prompt engineering, humanoid robots, scientific discovery, and chip production, exploring potential impacts and developments in these areas.
Khan Academy and the Future of Education - AI in Learning and Teaching
Explore Khan Academy's AI-powered Khanmigo: revolutionizing education through personalized tutoring, lesson planning, and homework assistance. Learn how GenAI is shaping the future of learning.
AI-Powered Startup Creation: From Dogs to DonkeyCorns
Explore AI's role in launching startups, from personifying AI agents to creating "DonkeyCorns". Learn practical tips for leveraging AI, proving product demand, and navigating innovation in the AI era.
AI and the Future of Software Development - One Billion Developers
Explore AI's impact on software development, from enabling a billion developers to reshaping creativity, productivity, and education. Learn key insights on building with AI and fostering innovation.
LangChain Tutorial for Generative AI
Explore LangChain's key features, components, and real-world applications for seamless AI tool integration. Learn installation, core concepts, and practical strategies to enhance AI-driven communication.
Claude 3.5 Sonnet: Features, Versions, and Applications
Explore Claude 3.5 Sonnet's advanced AI capabilities, including code writing, error fixing, and task automation. Learn about its versions, features, and integration with various platforms.
From Generic to Genius - Fine-Tuning LLMs with Precision and Speed
Discover how to fine-tune LLMs for your business needs, leveraging Databricks' Mosaic AI capabilities to create personalized models with improved speed, cost-efficiency, and data privacy.
Bringing Text-to-SQL to Business Intelligence Production in Large Enterprises
Explore Text-to-SQL implementation in large enterprises, focusing on model selection, fine-tuning, and performance optimization for accurate natural language querying in business intelligence contexts.