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Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level knowledge distillation (SeqKD) to transfer a frontier teacher's agentic behavior into a small, lower-cost student on Amazon SageMaker AI.
The other artificial intelligence shoe dropped this week, as Anthropic filed for what surely will be the second blockbuster AI initial public offering of stock this year. Nearly 70,000 words in the filing list a ton of risks, but in short, it’s making unimaginably huge bets on buying computing power, it’s uncertain on how long […] The post As Anthropic finally files for IPO, rising risks aren’t slowing the AI buildout – yet appeared first on SiliconANGLE.
Managed Deep Agents now runs a browser for your agent, with tools tuned for context-efficient browser use and a handoff so you can sign in yourself.
LangChain gave its Hex agent layered context, turning self-serve analytics questions from occasional to routine.
Every time an agent takes a step, it re-reads its entire context before acting. Here is how prompt caching for OpenAI models on Amazon Bedrock lets your agent remember, cutting input cost and latency without resending the same tools, instructions, and history every turn.
Long-running agents degrade as context piles up. Learn how offloading, summarization, skills, subagents, and memory keep your agent's context window focused.
Today, I’m talking to Kevin Roose, journalist and author of the new book The AGI Chronicles, which details the recent and explosive transformation of the AI industry. Kevin was a longtime New York Times reporter and host of the popular podcast Hard Fork, but he and friend of the show Casey Newton just left the […]
