Fine-Tuning vLLMs for Document Understanding
Learn how you can fine-tune language models for specific use cases.
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Domain-Driven RAG: Building Accurate Enterprise Knowledge Systems Through Distributed Ownership
Modular Retrieval Augmented Generation (RAG) applications enhance accuracy and relevancy by assigning ownership to dedicated domain experts.
Build a Python + ChatGPT-3.5 Chatbot in 10 Minutes
Learn to build a simple chatbot using Python and OpenAI’s API in just minutes, with code examples that help beginners.
Not everything needs an LLM: A framework for evaluating when AI makes sense
Question: What product should use machine learning? Project manager answer: Yes.
AI models routinely lie when honesty conflicts with their goals
Keep plugging those LLMs into your apps, folks. This neural network told me it’ll be fine.
Django Crash Course for Beginners
Django is a high-level web framework built with Python that encourages rapid development and clean, pragmatic design.
Will AI Ever Understand Language Like Humans?
AI may sound like a human, but that doesn’t mean that AI learns like a human.
OpenRouter: A Unified Interface for LLMs
Explore a marketplace for LLM APIs where you can effortlessly access and pay for top-tier AI models without the usual hassle.
Podcast: Achieving Sustainable Mental Peace in Software Engineering with Help from Generative AI
Shane Hastie spoke to John Gesimondo about how to leverage generative AI tools to support sustainable mental peace and productivity.
How Diffusion-Based LLM AI Speeds Up Reasoning
Many of today’s most well-known large language models (LLMs) are autoregressive AI models, which are designed to generate text sequentially,