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LLM news and updates on large language models trained to generate and reason over text. Coverage spans model releases and architectures, context windows and tokenization, fine-tuning and quantization, evaluation and hallucination, and serving cost.
Decoding Function Calling: Redefining the Boundaries of LLM and Application InteractionsNetBSD Foundation 🚩: "New development policy: code g…"Understanding Long RoPE in LLMsLLMs are not suitable for brainstormingreworkd/tarsier: Vision utilities for web interaction agents 👀Colbert vs. Classical RAG: Why the New Kid on the Block Might Be Stealing the ShowDeep Dive into Unsloth: Unleashing the Speed of LLM Fine-Tuning:Using Cuelang With Go for LLM Data ExtractionWeb-Instruct’s Instruction Tuning for MAmmoTH2 and MAmmoTH2-Plus Models: The Power of Web-Mined Data in Enhancing Large Language ModelsThere is a Data Engineering gold rush: Mining for richer customer analytics using Generative AI.
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Özkan Pakdil
@ozkanpakdil
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Coding since Commodore 64(1993), works with Linux/cloud/Java/spring boot/hibernate/C#/PostgreSQL
