9 results found
InstructGPT, introduced in OpenAI's 2022 paper, revolutionized LLM development by shifting focus from raw capability to alignment. It fine-tuned GPT-3 using Reinforcement Learning from Human Feedback (RLHF) to make models more helpful, honest, and harmless. This multi-stage pipeline, involving supervised fine-tuning, reward model training, and PPO, taught LLMs to follow human instructions consistently, leading to the foundation of modern conversational AI like ChatGPT.
LLMs & Falsehoods: When Warnings Don't Stick Verdict: A Critical Flaw in AI Learning New research reveals a concerning "negation neglect" in large language models (LLMs), indicating a profound challenge in how these
Building a Retrieval Augmented Generation (RAG) system often begins with exciting prototypes, quickly demonstrating the power of injecting external knowledge into large language models (LLMs). However, the journey from
MCP (Model Context Protocol) is a new standard that acts as a standardized bridge, enabling secure and efficient connections between large language models (LLMs) and external, private enterprise data sources. It addresses the complexity of traditional API integrations by standardizing data formats for AI, making agentic workflows more scalable and effective. MCP ensures LLMs have the crucial internal context needed for practical enterprise applications.
Every product experimentation team eventually confronts a common challenge when launching new features, especially those leveraging Large Language Models (LLMs): the 'Opt-In Trap'. Imagine shipping a new AI assistant
DeepMind veteran David Silver has secured an unprecedented $1.1 billion in funding for his new British AI lab, Ineffable Intelligence, at a $5.1 billion valuation. The company aims to build a "superlearner" AI that acquires knowledge and skills purely through reinforcement learning, without relying on human data, a radical departure from current large language models.
The promise of Artificial Intelligence (AI) in software development has captured the industry's imagination. Large Language Models (LLMs) and AI agents are touted as revolutionary tools capable of dramatically boosting
The dream of autonomous robots seamlessly integrating into our lives has long been a staple of science fiction. Today, with the rapid advancements in large language models (LLMs) and robotics, this future is closer than
For many developers, the inner workings of Large Language Models (LLMs) can feel like a black box. While powerful, the scale and complexity of production-grade LLMs often obscure their foundational principles. Andrej
