TNN is a deep learning inference framework for mobile, desktop and server, developed by Tencent Youtu Lab and Guangying Lab. It is based on ncnn and Rapidnet and extends support to X86 and NV GPUs. The project states that it has been used in Tencent applications including Mobile QQ, Weishi and Pitu.
A Hugging Face blog post by Daniel Huynh describing an experiment assessing SelfCheckGPT NLI as a measure of LLM inconsistencies for predicting hallucinated outputs. It reports that scores were highly precise after a threshold and that a score of 0.8 corresponded to close to 80% of hallucinations being identified.
SillyTavern is a locally installed user interface for interacting with text generation LLMs, image generation engines and TTS voice models. It began in February 2023 as a fork of TavernAI 1.2.8 and is built around character cards, collections of prompts that set the behavior of the LLM. It is free and open-sourced.
gotoHuman is a platform for supervising AI agents, letting workflows request human review of critical steps. Reviewers approve and edit AI-generated content in an Agent Inbox, with email and Slack notifications, and completed reviews return to the workflow via webhook. Review types are configured in a no-code editor and can capture text, images, markdown and JSON.
An index page from LabLab for discovering AI technologies and related topics. Each technology page is described as offering tutorials, upcoming hackathons, frameworks and boilerplates. Listed technologies include GPT-4, ChatGPT, BERT, AI21 Labs, Anthropic, AWS, Cohere, Hugging Face and DeepSeek.
Accord.NET is a .NET machine learning framework combined with audio and image processing libraries written in C#. It covers classification, regression, clustering, distributions, hypothesis tests and kernel methods, with imaging and signal processing components. The framework is intended for building computer vision, audition, signal processing and statistics applications, including commercial use. It offers sample applications, documentation and a wiki.
A visualisation of major large-language models ranked by performance using the MMLU benchmark, which consists of 16,000 multiple-choice questions across 57 academic subjects. It also presents selected lawsuits filed against AI companies and notes that MMLU has some critiques.
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A Hugging Face blog post by Daniel Huynh describing an experiment assessing SelfCheckGPT NLI as a measure of LLM inconsistencies for predicting hallucinated outputs. It reports that scores were highly precise after a threshold and that a score of 0.8 corresponded to close to 80% of hallucinations being identified.
SillyTavern is a locally installed user interface for interacting with text generation LLMs, image generation engines and TTS voice models. It began in February 2023 as a fork of TavernAI 1.2.8 and is built around character cards, collections of prompts that set the behavior of the LLM. It is free and open-sourced.
gotoHuman is a platform for supervising AI agents, letting workflows request human review of critical steps. Reviewers approve and edit AI-generated content in an Agent Inbox, with email and Slack notifications, and completed reviews return to the workflow via webhook. Review types are configured in a no-code editor and can capture text, images, markdown and JSON.
An index page from LabLab for discovering AI technologies and related topics. Each technology page is described as offering tutorials, upcoming hackathons, frameworks and boilerplates. Listed technologies include GPT-4, ChatGPT, BERT, AI21 Labs, Anthropic, AWS, Cohere, Hugging Face and DeepSeek.
Accord.NET is a .NET machine learning framework combined with audio and image processing libraries written in C#. It covers classification, regression, clustering, distributions, hypothesis tests and kernel methods, with imaging and signal processing components. The framework is intended for building computer vision, audition, signal processing and statistics applications, including commercial use. It offers sample applications, documentation and a wiki.
A visualisation of major large-language models ranked by performance using the MMLU benchmark, which consists of 16,000 multiple-choice questions across 57 academic subjects. It also presents selected lawsuits filed against AI companies and notes that MMLU has some critiques.
