List of awesome compiler projects and papers for tensor computation and deep learning.
Apache cTAKES is an open-source project developed under the Apache Software Foundation. Its documentation and project resources are hosted on a GitHub repository, and it is part of the broader Apache developer and user community.
This is the official project page for the ICML 2024 research paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate' by MIT and Google Brain researchers. The paper introduces a multi-round debate approach where multiple language model instances propose answers, critique each other, and debate to improve reasoning and factual accuracy while reducing hallucinations.
A market intelligence site for AI compute that tracks live GPU cloud and LLM API pricing, performance benchmarks and market data across AI infrastructure providers. It publishes comparisons of GPU cloud pricing by provider and of LLM performance versus cost, including articles on Azure, AWS, Google Cloud, CoreWeave and Lambda GPU offerings.
Odysseus is a self-hosted AI workspace for running language models on one's own hardware. It offers chat, autonomous agents, tools and MCP connections, model serving, an email assistant, deep research, model comparison and persistent memory. The project is described as local-first and privacy-first, with no telemetry.
APIDNA provides machine-learning models, research, training resources, or evaluation tools.
Butternut AI is an AI website builder for small businesses that generates a site from a business name and description. It includes hosting, SSL, a free custom domain for the first year, SEO features, an AI blog writer and an AI chatbot, with Starter and Pro plans.
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Apache cTAKES is an open-source project developed under the Apache Software Foundation. Its documentation and project resources are hosted on a GitHub repository, and it is part of the broader Apache developer and user community.
This is the official project page for the ICML 2024 research paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate' by MIT and Google Brain researchers. The paper introduces a multi-round debate approach where multiple language model instances propose answers, critique each other, and debate to improve reasoning and factual accuracy while reducing hallucinations.
A market intelligence site for AI compute that tracks live GPU cloud and LLM API pricing, performance benchmarks and market data across AI infrastructure providers. It publishes comparisons of GPU cloud pricing by provider and of LLM performance versus cost, including articles on Azure, AWS, Google Cloud, CoreWeave and Lambda GPU offerings.
Odysseus is a self-hosted AI workspace for running language models on one's own hardware. It offers chat, autonomous agents, tools and MCP connections, model serving, an email assistant, deep research, model comparison and persistent memory. The project is described as local-first and privacy-first, with no telemetry.
APIDNA provides machine-learning models, research, training resources, or evaluation tools.
Butternut AI is an AI website builder for small businesses that generates a site from a business name and description. It includes hosting, SSL, a free custom domain for the first year, SEO features, an AI blog writer and an AI chatbot, with Starter and Pro plans.
