Large Language Models (LLMs)

Constantly growing in scale, these models have not only changed the way we interact with present AI systems, but they’ve also changed the outlook on AI models in the future, for better or worse.

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Automated Reasoning to Prevent LLM Hallucination

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Why Your RAG System Is Broken, and How to Fix It

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An Agentic Mixture of Experts for DevOps

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AI Agents for Data Analysis

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Stealing Part of a Production Language Model

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Supercharging Developer Productivity with ChatGPT and Claude

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Automated Design of Agentic Systems

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Building Real-World LLM Products with Fine-Tuning and More

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Long Context Language Models and their Biological Applications

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Energy Star Ratings for AI Models

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Language Understanding and LLMs

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Chronos: Learning the Language of Time Series

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GraphRAG: Knowledge Graphs for AI Applications

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Teaching Large Language Models to Reason with Reinforcement Learning

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Localizing and Editing Knowledge in LLMs

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Coercing LLMs to Do and Reveal (Almost) Anything

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OLMo: Everything You Need to Train an Open Source LLM

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Training Data Locality and Chain-of-Thought Reasoning in LLMs

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Reasoning Over Complex Documents with DocLLM

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Are Emergent Behaviors in LLMs an Illusion?

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AI Trends 2024: Reinforcement Learning in the Age of LLMs

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AI Trends 2024: Machine Learning & Deep Learning

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Patterns and Middleware for LLM Applications

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Building LLM-Based Applications with Azure OpenAI

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Mental Models for Advanced ChatGPT Prompting

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Multilingual LLMs and the Values Divide in AI

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Scaling Multi-Modal Generative AI

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Personalization for Text-to-Image Generative AI

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Ensuring LLM Safety for Production Applications

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What’s Next in LLM Reasoning?

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Is ChatGPT Getting Worse?

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The Enterprise LLM Landscape

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BloombergGPT – an LLM for Finance

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Are LLMs Good at Causal Reasoning?

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Stable Diffusion and LLMs at the Edge

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Language Modeling With State Space Models

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AI Agents and Data Integration with GPT and LLaMa

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Are LLMs Overhyped or Underappreciated?

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Are Large Language Models a Path to AGI?

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Open Source Generative AI at Hugging Face

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Generative AI at the Edge

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Watermarking Large Language Models to Fight Plagiarism

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Does ChatGPT “Think”? A Cognitive Neuroscience Perspective

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Privacy and Security for Stable Diffusion and LLMs

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AI Trends 2023: Causality and the Impact on Large Language Models

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How LLMs and Generative AI are Revolutionizing AI for Science

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AI Trends 2023: Natural Language Proc – ChatGPT, GPT-4 and Cutting Edge Research

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Will ChatGPT take my job?

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Exploring Large Language Models

Cover image: D. Sculley - Podcast Interview

Data Debt in Machine Learning

Cover image: Irwan Bello - Podcast Interview

Mixture-of-Experts and Trends in Large-Scale Language Modeling

Cover Image: Jennifer Glore - Podcast Interview

Scaling BERT and GPT for Financial Services

Cover Image: Timnit Gebru - Podcast Interview

Daring to DAIR: Distributed AI Research

Cover Image: Bryan Catanzaro - Podcast Interview

Parallelism and Acceleration for Large Language Models

Cover Image: Emily M. Bender, Margaret Mitchell - Podcast Interview

Can Language Models Be Too Big?

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