Llama 3.1
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- How Large Language Model Context Windows Work
An explainer collected in the WeChat public account AngryCode describes the context window as the amount of text a language model can process at one time, measured in tokens rather than characters. It explains that system instructions, conversation history, the current prompt, pasted documents, and generated output share the same capacity, so older information may be dropped or summarized when the limit is reached. The article also offers practical guidance on retaining key facts, summarizing older conversations, including only relevant document sections, and leaving room for the response.
掘金 · 人工智能 · 🔥 0 - Community author tests small local LLMs on Polish, JSON and Python
A Reddit author created “Zacharski tests,” an open-source 15-task suite for evaluating small local models through Ollama on a laptop with 8 GB of VRAM. It covers eight Polish tasks, four JSON tasks and three Python syntax checks, with one answer per task, temperature 0, a 2k context and thinking disabled. The initial gemma2:9b Q4_0 result was 7/7 on JSON and code tasks but 3/8 on Polish tasks.
r/LocalLLaMA · 🔥 0 - 42AI Launches Behavioral World Model With $62.5M Seed
Israeli startup 42AI emerged from stealth with $62.5 million in seed funding for a transformer-based behavioral world model that estimates the probabilities of individuals’ decisions. TechCrunch and SiliconANGLE AI reported that the system is being used by financial brokerages to anticipate trading direction and volume, with 42AI also citing 10 large brokerage customers. The company’s accuracy, revenue, customer, and trading-value figures remain vendor claims that have not been independently validated.
TechCrunch AI · 🔥 0
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