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★ 2025-01-14 · latent.space

The 2025 AI Engineering Reading List

We picked 50 paper/models/blogs across 10 fields in AI Eng: LLMs, Benchmarks, Prompting, RAG, Agents, CodeGen, Vision, Voice, Diffusion, Finetuning. If you're starting from scratch, start here.

Note: gist: https://gist.github.com/bjpcjp/117ecf144c062c3c933f2690e7ece5c2

★ 2024-12-22 · arstechnica.com

Why AI language models choke on too much text

Compute costs scale with the square of the input size. That’s not great.

This is probably why Google charges twice as much, per token, for Gemini 1.5 Pro once the context gets longer than 128,000 tokens. Generating token number 128,001 requires comparisons with all 128,000 previous tokens, making it significantly more expensive than producing the first or 10th or 100th…
In a series of papers, Princeton computer scientist Tri Dao and several collaborators have developed FlashAttention, which calculates attention in a way that minimizes the number of these slow memory operations.
★ 2024-12-12 · semianalysis.com

Scaling Laws – O1 Pro Architecture, Reasoning Training Infrastructure, Orion and Claude 3.5 Opus “Failures”

There has been an increasing amount of fear, uncertainty and doubt (FUD) regarding AI Scaling laws. A cavalcade of part-time AI industry prognosticators have latched on to any bearish narrative the…

Other areas that deliver model improvements with more compute include Synthetic Data Generation, Proximal Policy Optimization (PPO), Functional Verifiers, and other training infrastructure for reasoning
we will outline the old pre-training scaling trend as well as the new scaling trends for post-training and inference time.
★ 2024-11-28 · newyorker.com

My Uncle, the Hit Man

No one in my family wanted to talk about Harold’s life as a contract killer for the Mob. Then one day he called me.

★ 2024-11-20 · emschwartz.me

Understanding the BM25 full text search algorithm

BM25 is a widely used algorithm for full text search. I wanted to understand how it works, so here is my attempt at understanding by re-explaining.

can I compare the BM25 scores of documents across multiple queries to determine which query the document best matches?
goal of a full text search algorithm is to take a query and find the most relevant documents
★ 2023-01-02 · commoncog.com

The Games People Play With Cash Flow

One way that first principles thinking fails is when you build your analysis up from a deficient set of base principles. Everything is correct and true, but you still end up mistaken. Here's how that looks like in practice.