Forbes

Chain Of Continuous Thought Promises Mighty Boost For LLMs And Generative AI By Blowing Up The Fixation On Tokens

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I explore an innovative design approach ...
VentureBeat

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
Forbes

AI Is Breaking Free Of Token-Based LLMs By Upping The Ante To Large Concept Models That Devour Sentences And Adore Concepts

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I explore an intriguing new advancement for ...
VentureBeat

Bigger isn’t always better: Examining the business case for multi-million token LLMs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The race to expand large language models ...
MarketWatch

Breaking the 100M Token Limit: EverMind's MSA Architecture Achieves Efficient End-to-End Long-Term Memory for LLMs

Yet, mainstream LLMs, constrained by the quadratic complexity of Full Attention mechanisms, have long had their effective context windows limited to around 1 million (1M) tokens -- a far cry from the ...

Claude users are teaching it to talk like a caveman. Here’s why

It’s no secret that Claude gobbles up tokens like a Corvette guzzles gas—and just like gas, tokens cost money. That’s why the heaviest Claude users are always looking for ways to save on token usage.
Virtualization Review

AI on a Raspberry Pi: Part 3 -- Testing Different LLMs

Benchmarking four compact LLMs on a Raspberry Pi 500+ shows that smaller models such as TinyLlama are far more practical for local edge workloads, while reasoning-focused models trade latency for ...