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  • React
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NEW

What Is Moltbook? How AI Agents Share Tasks, Skills, and Services

The short version, before we get into it: Moltbook is described as a Reddit-style social network built only for AI agents. Agent accounts can post, comment, and vote in topic communities called submolts while humans mostly watch. Some coverage has framed it as one of the messier, more closely…
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NEW

Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared

Three methods, three data situations. Supervised fine‑tuning (SFT) copies labeled examples. Direct preference optimization (DPO) aligns to ranked “better vs worse” pairs. Reinforcement fine‑tuning (RFT) runs a reward loop that scores outputs and pushes toward the good ones. Most reinforcement…
Thumbnail Image of Tutorial Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared

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NEW

Jev is here! How to use it ?

Jev is TypeSafe AI's first System One model, as described in the vendor's materials. The product is presented as a decision engine: you hand it messy input plus a set of typed questions, and it returns structured answers with calibrated probabilities in one parallel pass. It is not designed to…
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NEW

Weighted Round Robin for LLM Inference: Route Requests by Cost and Latency

Routing LLM traffic by cost and latency stopped being optional the moment you started running interactive AI features at any real scale. Token billing and premium model prices stack up fast, and users expect answers now. Weighted round robin gives you a deterministic way to split traffic across…
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NEW

Stemming vs Lemmatization for RAG: Which Choice Improves Retrieval in LLM Apps

Stemming vs lemmatization comes down to a tradeoff between speed and linguistic precision. Stemming chops words to a crude root using fixed rules. Lemmatization maps words to their dictionary base form using vocabulary and morphology. In some retrieval settings, either normalization can improve…
Thumbnail Image of Tutorial Stemming vs Lemmatization for RAG: Which Choice Improves Retrieval in LLM Apps