agentic – Andrew Fairless, Ph.D.

What I Read: Model, Product

By Andrew Fairless on June 3, 2025March 10, 2025

https://vintagedata.org/blog/posts/model-is-the-product The Model is the ProductAlexander Doria“There were a lot of speculation over the past years about what the next cycle of AI development could be. Agents? Reasoners? Actual multimodality?Continue readingWhat I Read: Model, Product

What I Read: BAML

By Andrew Fairless on May 28, 2025February 22, 2025

https://thedataquarry.com/posts/baml-is-building-blocks-for-ai-engineers BAML is like building blocks for AI engineersPrashanth Rao2025-02-10 “I’ll explain more about how BAML, a domain-specific language for helping LLMs generate better structured outputs, provides AI engineers theContinue readingWhat I Read: BAML

What I Read: BAML, agentic

By Andrew Fairless on May 27, 2025February 22, 2025

https://thedataquarry.com/posts/baml-and-future-agentic-workflows Why I’m excited about BAML and the future of agentic workflowsPrashanth Rao2025-01-29 “Although there have been new agentic and AI workflow orchestration frameworks coming out seemingly every month latelyContinue readingWhat I Read: BAML, agentic

What I Read: next weak learners

By Andrew Fairless on May 15, 2025February 2, 2025

https://www.pelayoarbues.com/notes/The-next-generation-of-Weak-Learners The next generation of weak learnersPelayo ArbuésJan 28, 2025 “Large Language Models (LLMs) have often been marketed as our path to Artificial General Intelligence, but I see them asContinue readingWhat I Read: next weak learners

What I Read: Short, Nvidia

By Andrew Fairless on May 8, 2025February 2, 2025

https://youtubetranscriptoptimizer.com/blog/05_the_short_case_for_nvda The Short Case for Nvidia StockJeffrey EmanuelJanuary 25, 2025 “…NVIDIA faces an unprecedented convergence of competitive threats that make its premium valuation increasingly difficult to justify… The company’s supposedContinue readingWhat I Read: Short, Nvidia

What I Read: Adaptive LLMs

By Andrew Fairless on April 30, 2025January 30, 2025

https://sakana.ai/transformer-squared Transformer²: Self-Adaptive LLMssakana.aiJanuary 15, 2025 “Imagine a machine learning system that could adjust its own weights dynamically to thrive in unfamiliar settings, essentially illustrating a system that evolves asContinue readingWhat I Read: Adaptive LLMs

What I Read: agents

By Andrew Fairless on April 15, 2025January 11, 2025

https://huyenchip.com/2025/01/07/agents.html AgentsChip HuyenJan 7, 2025 “This section will start with an overview of agents and then continue with two aspects that determine the capabilities of an agent: tools and planning….Continue readingWhat I Read: agents

What I Read: Building agents

By Andrew Fairless on April 9, 2025December 31, 2024

https://www.anthropic.com/research/building-effective-agents Building effective agentsErik Schluntz and Barry ZhangDec 19, 2024 “Over the past year, we’ve worked with dozens of teams building large language model (LLM) agents across industries. Consistently, theContinue readingWhat I Read: Building agents

What I Read: LLMs, 2024

By Andrew Fairless on January 9, 2025January 5, 2025

https://simonwillison.net/2024/Dec/31/llms-in-2024 Things we learned about LLMs in 2024Simon Willison31st December 2024 “A lot has happened in the world of Large Language Models over the course of 2024.”

What I Read: LLM Agents in Production

By Andrew Fairless on December 17, 2024December 16, 2024

https://www.zenml.io/blog/llm-agents-in-production-architectures-challenges-and-best-practices LLM Agents in Production: Architectures, Challenges, and Best PracticesAlex Strick van LinschotenDec 9, 2024 “Taken together, the LLMOps case studies paint a picture of a technology that is atContinue readingWhat I Read: LLM Agents in Production

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