
Mastering Data Compression with LLMs via LMCompress
LMCompress uses large language models to achieve state of the art, lossless compression across text,
LMCompress uses large language models to achieve state of the art, lossless compression across text,
AlphaEvolve by DeepMind evolves and optimizes code using LLMs and evolutionary algorithms, enabling breakthroughs in
J1 by Meta AI is a reasoning-focused LLM judge trained with synthetic data and verifiable
BitNet b1.58 2B4T is the first native 1-bit, 2B parameter LLM trained on 4T tokens,
In this hands-on guide, explore how to build a modular, intelligent multi-agent workflow using LlamaIndex.
Build interactive, web-hosted dashboards effortlessly using Lovable without coding or complex tools.
This article explores building a functional question generator using LangChain, Pydantic, Streamlit, and Python efficiently.
n8n is an open-source, low-code workflow automation platform that enables seamless integrations between applications using
DAPO is an open-source RL framework that enhances LLM reasoning efficiency, achieving top-tier AIME
SmolDocling, a 256M VLM, enables efficient document conversion using DocTags to preserve structure while reducing
Chain of Draft (CoD) optimizes LLM efficiency by reducing verbosity while maintaining accuracy. It cuts
DeepSeek’s MLA reduces KV cache memory via low-rank compression and decoupled positional encoding, enabling efficient
OpenAI’s Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
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