Search Results for "include" - Page 12

OpenAI is dedicated to creating a full suite of highly interoperable Artificial Intelligence components that make the best use of today's technologies. Current tools include Mobile Agents, Neural Networks, Genetic Algorithms and Finite State Machines.

The DragonBreath Engine is a constraint solver based on local search. It features real-time computation, handling of dynamics, structural constraint satisfaction, and an easy way to include domain-specific knowledge.

This is a Java Email client for academic purpose. It will include the general email client features and other experimental techniques such as uncertain reasoning, HCI principles. This project is not supported now.

A Ruby library with a powerful, high-level, general artificial intelligence engine. Sample implementations include a chatterbox and a mud bot.

Simple skype chatbot written in python, using the skype4py project and sqlite3. Bot behavior will be plugin-based. Built-in features include: Magic 8 ball simulator, User post counting and leveling, phrase "liking" feature, etc.

Improvements to the CMU k-means code to include pairwise constraints.

JOptical is a free library for generic computer vision applications. It will include most well known algorithms around this subject and expand on that.

aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.

...It also strengthens technical explanations, balancing rigor with accessibility. While not intended as a production-ready system, it serves as a high-quality local assistant for structured writing, summarization, and coding tasks. Limitations include potential hallucinations in complex domains and weaker performance compared to larger frontier models.

...It introduces a hybrid reasoning mode with explicit <think> segments, enabling the model to deliberate deeply when needed and switch to faster responses when desired. Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs. The model is designed for schema adherence, producing valid JSON and repairing malformed outputs, making it highly suitable for tool use and function calling. Hermes 4 is engineered for superior steerability with reduced refusal rates, aligning responses to user values while preserving assistant quality. ...

...Solar Open 2 includes 321 experts, with eight routed experts plus one shared expert activated per token. It was pretrained on roughly 12 trillion tokens and supports English, Korean, and Japanese. Agent capabilities include multi-step reasoning, tool calling, MCP tools, and end-to-end task execution. It also offers direct-response and high-reasoning modes and supports deployment through Transformers, vLLM, SGLang, and quantized variants.

...FP8 testing reached around 100–105 tokens/s on DGX Spark and 86–90 tokens/s on an M4 Pro MacBook. BF16, FP8, and INT4 weights are available, while deployment options include SGLang, vLLM, and experimental Ollama support on Apple Silicon.

...Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model supports real-world robotics tasks, with robust generalization to environments seen in pretraining. Its actions include delta values for position, orientation, and gripper status, and can be un-normalized based on robot-specific statistics. OpenVLA is MIT-licensed, fully open-source, and designed collaboratively by Stanford, Berkeley, Google DeepMind, and TRI. Deployment is facilitated via Python and Hugging Face tools, with flash attention support for efficient inference.

EveAI processes the data assuming that it has already been read by a sensor. Theoretically this should give it reflex behavior. Now the end product should be a self conscious machine future plans are to include the field of robotics.

FINSCALE is an open source distribution of Open Finance and data residency platform for financial access use cases. Core features include Identity, accounting and electronic contracts ledger platform.

CleanTextTools Core is the open-source edition of CleanTextTools, a browser-based utility for cleaning text generated by ChatGPT, Claude, Gemini and other AI assistants. The Core edition helps users remove common formatting artifacts while preserving the original wording and meaning of their content. Core features include: * Remove common markdown formatting * Fix inconsistent spacing and line breaks * Remove hidden Unicode characters * Remove emojis * Copy cleaned text * Process text directly in the browser * Run locally without creating an account CleanTextTools Core is intended for developers, writers, students, marketers and professionals who need clean, paste-ready text for documents, emails, websites and productivity platforms. ...