February 2025

How Transformer LLMs Work [Free Course]

How Transformer LLMs Work [Free Course]

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Enroll for free now: https://bit.ly/4aRnn7Z Github Repo: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models We’re ecstatic to bring you “How Transformer LLMs Work” — a free course with ~90 minutes of video, code, and crisp visuals and animations that explain the modern Transformer architecture, tokenizers, embeddings, and mixture-of-expert models. Thanks for reading Language Models & Co.! Subscribe for free to receive new posts and support my work. and I have developed a lot of the visual language over the last several years (tens of […]

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Three Observations

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Our mission is to ensure that AGI (Artificial General Intelligence) benefits all of humanity.  Systems that start to point to AGI* are coming into view, and so we think it’s important to understand the moment we are in. AGI is a weakly defined term, but generally speaking we mean it to be a system that can tackle increasingly complex problems, at human level, in many fields. People are tool-builders with an inherent drive to understand and create, which […]

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Lightweight LLM for converting text to structured data

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Lightweight LLM for converting text to structured data Novel training procedure and decoding mechanism enable model to outperform much larger foundation model prompted to perform the same task. Conversational AI Karim Bouyarmane February 06, 10:14 AM February 06, 10:27 AM One of the most important features of todays generative models is their ability to take unstructured, partially unstructured, or poorly structured inputs and convert them into structured objects that conform to specific schemas relational-database fixed schemas, document store […]

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Do Large Language Model Benchmarks Test Reliability?

Do Large Language Model Benchmarks Test Reliability?

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    Paper    Code Large language models (LLMs) have shown remarkable capabilities in areas like problem-solving, knowledge retrieval, and code generation. Yet, these models still fail sometimes on surprisingly simple tasks. Two such examples that went viral recently were models such as ChatGPT and Claude failing on the questions “how many r’s are in the word strawberry?” and “which is greater, 9.11 or 9.9?” These examples might seem amusing but inconsequential. However, in safety-critical contexts such as […]

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