Today, the AI research startup announced that it’s expanded the context window for Claude — its flagship text-generating AI model, still in preview — from 9,000 tokens to 100,000 tokens ...

Explore the hidden challenges of context rot in AI and how input length affects large language models. Uncover the paradox of ...

At its best, AI is a tool, not an end result. It allows people to do their jobs better, rather than sending them or their colleagues to the breadline. In an example of "the good kind," Google DeepMind ...

From chat to infrastructure modernization, Anthropic’s MCP offers a ‘bridge’ to agentic AI, but its early days may prove ...

Overall, it seems like the model's strength is placing the nuances of human speech in its output. What often gives AI voices away is their monotony, making the output sound quite boring to listen to.

The Model Context Protocol At the end of 2024, Anthropic released the specification of the Model Context Protocol , intended to standardize connections between LLMs and your own applications and data.

The Crucial Role of Context in AI Models. AI models rely heavily on context to generate meaningful and coherent responses. This context serves as the model’s memory of past interactions ...

This meant that if you fed it more than about 15 pages of text, it would “forget” information from the beginning of its context. This limited the size and complexity of tasks ChatGPT could handle.

Hume claims Octave is the first text-to-speech system powered by a large language model (LLM) trained not only on text but on speech and emotion tokens, enabling it to understand words in context ...