large language model – Page 3 – Andrew Fairless, Ph.D.

What I Read: Musings on AI Engineering

By Andrew Fairless on September 16, 2024June 29, 2024

https://www.sh-reya.com/blog/ai-engineering-short Short Musings on AI Engineering and “Failed AI Projects”Shreya ShankarJun 24, 2024 “When we studied the traditional MLOps lifecycle, we found one common pattern across all successful ML products—theirContinue readingWhat I Read: Musings on AI Engineering

What I Read: LLMs train LLMs

By Andrew Fairless on September 4, 2024June 15, 2024

https://sakana.ai/llm-squared Can LLMs invent better ways to train LLMs?Sakana AIJune 13, 2024 “…LLMs themselves have grown increasingly capable of generating hypotheses and writing code. This raises an intriguing question: canContinue readingWhat I Read: LLMs train LLMs

What I Read: Summarization, LLMs

By Andrew Fairless on September 3, 2024June 15, 2024

https://cameronrwolfe.substack.com/p/summarization-and-the-evolution-of Summarization and the Evolution of LLMsCameron R. Wolfe, Ph.D.Jun 03, 2024 “How research on abstractive summarization changed language models forever…”

What I Read: neural systems understanding

By Andrew Fairless on August 26, 2024June 15, 2024

Can an emerging field called ‘neural systems understanding’ explain the brain? Can an emerging field called ‘neural systems understanding’ explain the brain?George Musser5 June 2024 “This mashup of neuroscience, artificialContinue readingWhat I Read: neural systems understanding

What I Read: What We Learned Building LLMs

By Andrew Fairless on August 19, 2024June 4, 2024

https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i What We Learned from a Year of Building with LLMs (Part I)By Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu and Shreya ShankarMay 28, 2024 “We’ve identifiedContinue readingWhat I Read: What We Learned Building LLMs

What I Read: Merge Large Language Models

By Andrew Fairless on August 15, 2024June 4, 2024

https://huggingface.co/blog/mlabonne/merge-models Merge Large Language Models with mergekitJanuary 9, 2024Maxime Labonne “Model merging is a technique that combines two or more LLMs into a single model. It’s a relatively new andContinue readingWhat I Read: Merge Large Language Models

What I Read: LLM Pipelines, DSPy

By Andrew Fairless on August 13, 2024May 25, 2024

https://www.databricks.com/blog/optimizing-databricks-llm-pipelines-dspy Optimizing Databricks LLM Pipelines with DSPyby Arnav Singhvi and Daniel Pechi (JetBlue)May 23, 2024 “The key component of DSPy is self-improving pipelines…. Just as data pipelines and machine learningContinue readingWhat I Read: LLM Pipelines, DSPy

What I Read: LLM evaluation

By Andrew Fairless on August 7, 2024May 25, 2024

https://huggingface.co/blog/clefourrier/llm-evaluation Let’s talk about LLM evaluationMay 23, 2024Clémentine Fourrier “There are, to my knowledge, at the moment, 3 main ways to do evaluation: automated benchmarking, using humans as judges, andContinue readingWhat I Read: LLM evaluation

What I Read: LLM, DSPy Assertions and Suggestions

By Andrew Fairless on August 6, 2024May 25, 2024

https://learnbybuilding.ai/tutorials/guiding-llm-output-with-dspy-assertions-and-suggestions Guiding LLM Output with DSPy Assertions and SuggestionsBill Chambers “Assertions in DSPy allow you to define strict rules and constraints that the LLM’s output must (or maybe that youContinue readingWhat I Read: LLM, DSPy Assertions and Suggestions

Tag: large language model