Meet Hy3 preview: @TencentHunyuan's most capable Hy model yet.
Built for coding, search, agents, and next-gen applications. 256K context window. 40% inference efficiency gain. Open-source and available now.
📖 https://t.co/3cytnXfsGW
#AI #LLM #AIForGood
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Hy3 is another open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition → model aimed at coding and AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → workloads, with a 256K context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → and a claimed 40% inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → efficiency gain. It is worth benchmarking if you are cost-sensitive on long-context agent runs.
