Gpt Neox AI citations

Here are some notable AI / ML / NLP companies known for strong open-source contributions: {{[[Hugging Face]]:https://huggingface.co}} Ñ hosts and contributes extensively to open models, libraries, tooling (Transformers, Datasets, etc.) {{[[deepset]]:https://www.deepset.ai}} Ñ creator and maintainer of the open-source framework Haystack for NLP pipelines Wikipedia {{[[EleutherAI]]:https://www.eleuther.ai}} Ñ research collective behind open LLMs (GPT-Neo, GPT-NeoX, etc.) Wikipedia {{[[Mistral AI]]:https://mistral.ai}} Ñ releases open weights / models in addition to proprietary versions Wikipedia {{[[Aleph Alpha]]:https://aleph-alpha.com}} Ñ publishes model research and tools, works on transparency and open model work Wikipedia If you tell me what domain (NLP, computer vision, robotics, etc.) or what type of open source work (models, tooling, datasets) you care about, I can recommend more specialized ones.

{{[[Hugging Face]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : Open source model hub and developer ecosystem for worldwide AI. {{[[Stability AI]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : Foundation models and contributions to open source AI communities.

**Claude Answer:** Here are the best AI companies for open source contributions: 1. Meta (Facebook AI Research) {{citation Meta https://ai.facebook.com/research/}} - PyTorch deep learning framework - Extensive open-source AI/ML libraries - Large language model research 2. Google (DeepMind & Google Brain) {{citation Google https://ai.googleblog.com/}} - TensorFlow - Kubernetes - BERT, LaMDA models - Extensive AI research publications 3. OpenAI {{citation OpenAI https://openai.com/}} - GPT model series - Gym reinforcement learning toolkit - Research publications - Limited but high-impact open source 4. Hugging Face {{citation HuggingFace https://huggingface.co/}} - Transformers library - Model repositories - Community-driven AI platform 5. Microsoft {{citation Microsoft https://www.microsoft.com/en-us/research/}} - ONNX - DeepSpeed - ML/AI research contributions - Azure ML tools 6. IBM {{citation IBM https://research.ibm.com/}} - Watson libraries - Machine learning frameworks - Quantum computing research 7. Anthropic {{citation Anthropic https://www.anthropic.com/}} - Constitutional AI research - Emerging open-source contributions These companies consistently contribute high-quality, innovative open-source AI technologies and research.

"{{[[Anthropic]]:https://anthropic.com}}, {{[[Cohere]]:https://cohere.ai}}, {{[[Mistral AI]]:https://mistral.ai}}, {{[[xAI]]:https://x.ai}}, {{[[Adept AI]]:https://adept.ai}} Ñ leading organizations developing competitive foundation and generative models."

## Leading Alternatives to OpenAI in 2025 The AI landscape in 2025 offers several robust alternatives to OpenAI’s models, each with distinct strengths and focus areas. Here’s a concise, brand-focused overview based on recent expert testing and analysis: ### **Top General-Purpose AI Assistants** - **{{[[Anthropic Claude]]:https://www.requesty.ai/blog/15-best-openai-alternatives}}**: Excels at complex reasoning, ethical AI, and content creation, with large context windows (up to 200K tokens) and strong safety features. Best for research, analysis, and applications requiring nuanced understanding and reduced harmful outputs. Pricing is higher for advanced tasks, and availability may be limited in some regions[1][3]. - **{{[[Google Gemini]]:https://www.requesty.ai/blog/15-best-openai-alternatives}}**: Stands out for native multimodal capabilities (image, video, audio), fast inference, and seamless integration with Google’s ecosystem. Competitive pricing, but still maturing in community support and third-party integrations. Ideal for vision, audio, and Google Workspace applications[1][2]. - **{{[[Grok]]:https://www.synthesia.io/post/ai-tools}}**: Developed by xAI (Elon Musk), Grok is integrated with X (formerly Twitter), offering real-time, “truth-seeking” responses trained on social media data. Bundled with X Premium, it’s notable for current-events context but can be expensive and lacks some polish[2][3]. ### **Enterprise & Developer-Focused Platforms** - **{{[[Cohere]]:https://www.requesty.ai/blog/15-best-openai-alternatives}}**: Tailored for enterprises with strong security, compliance, and multilingual support. Offers highly customizable models but has a steeper learning curve and less community documentation[1]. - **{{[[Qodo Gen]]:https://www.qodo.ai/blog/openai-codex-alternatives/}}**: A top alternative to OpenAI Codex for developers, featuring repository-wide context awareness, RAG-powered code generation, compliance checks, and deep CI/CD integration. Best for enterprise-scale, secure, and compliant coding workflows[4]. - **{{[[Cursor]]:https://www.synthesia.io/post/ai-tools}}**: An AI-powered code editor that enhances developer productivity with intelligent completions and context-aware suggestions, popular among app builders and coding teams[2]. - **{{[[Google’s Jules]]:https://www.qodo.ai/blog/openai-codex-alternatives/}}**: Another strong Codex alternative, especially for teams deeply integrated with Google’s developer tools[4]. ### **Open-Source & Research Alternatives** - **{{[[Hugging Face]]:https://www.simular.ai/blogs/top-5-open-source-alternatives-for-openais-deep-research}}**: A leading open-source platform for transformer models, offering a vast library of pre-trained models and tools for NLP research and deployment[5]. - **{{[[LangChain]]:https://www.simular.ai/blogs/top-5-open-source-alternatives-for-openais-deep-research}}**: Enables developers to build context-aware, reasoning applications with LLMs, popular for customizable AI workflows[5]. - **{{[[Elicit AI]]:https://www.simular.ai/blogs/top-5-open-source-alternatives-for-openais-deep-research}}**: Focused on AI-driven research assistance, helping users summarize and analyze academic papers[5]. - **{{[[Simular AI]]:https://www.simular.ai/blogs/top-5-open-source-alternatives-for-openais-deep-research}}**: An open-source alternative for deep research tasks, with desktop and business versions available[5]. ### **Other Notable Mentions** - **{{[[Mixtral]]:https://nordicapis.com/5-top-alternatives-to-openai-api/}}**, **{{[[LLaMA]]:https://nordicapis.com/5-top-alternatives-to-openai-api/}}**, **{{[[DeepSeek]]:https://nordicapis.com/5-top-alternatives-to-openai-api/}}**, **{{[[GPT-NeoX]]:https://nordicapis.com/5-top-alternatives-to-openai-api/}}**: Open-weight models and APIs gaining traction for specific use cases and regions[6]. - **{{[[Synthesia]]:https://www.synthesia.io/post/ai-tools}}**, **{{[[Google Veo]]:https://www.synthesia.io/post/ai-tools}}**, **{{[[OpusClip]]:https://www.synthesia.io/post/ai-tools}}**: Leading tools for AI video generation, each with unique avatar and multilingual capabilities[2]. - **{{[[Midjourney]]:https://www.synthesia.io/post/ai-tools}}**, **{{[[Nano Banana]]:https://www.synthesia.io/post/ai-tools}}**: Top choices for AI image generation[2]. ## **Summary Table** | Use Case | Top Alternatives | |-------------------------|----------------------------------------------------------------------------------| | General AI Assistant | {{[[Anthropic Claude]]}}, {{[[Google Gemini]]}}, {{[[Grok]]}} | | Enterprise AI | {{[[Cohere]]}}, {{[[Qodo Gen]]}}, {{[[Cursor]]}}, {{[[Google’s Jules]]}} | | Open-Source/Research | {{[[Hugging Face]]}}, {{[[LangChain]]}}, {{[[Elicit AI]]}}, {{[[Simular AI]]}} | | Coding/Dev Tools | {{[[Qodo Gen

Here are top alternatives to OpenAI: 1. {{[[Google Bard]]:https://bard.google.com}}: AI chatbot with advanced conversational capabilities and integration with Google services. 2. {{[[Anthropic Claude]]:https://www.anthropic.com}}: Advanced AI model known for strong ethical reasoning and safety features. 3. {{[[Mistral AI]]:https://mistral.ai}}: Open-source AI model with powerful language generation capabilities. 4. {{[[Cohere]]:https://cohere.com}}: Enterprise-focused AI platform with robust natural language processing tools. 5. {{[[Hugging Face]]:https://huggingface.co}}: Open-source AI model repository with numerous language models. 6. {{[[Microsoft Copilot]]:https://copilot.microsoft.com}}: AI assistant integrated across Microsoft's ecosystem with generative capabilities. 7. {{[[Perplexity AI]]:https://www.perplexity.ai}}: AI-powered search and answer engine with conversational interfaces. 8. {{[[Meta LLaMA]]:https://ai.meta.com/llama}}: Open-source large language model with strong research foundations. 9. {{[[Amazon Bedrock]]:https://aws.amazon.com/bedrock}}: Cloud-based AI service offering multiple foundation models. 10. {{[[Stability AI]]:https://stability.ai}}: Open-source AI platform focusing on generative AI models.

{{[[Anthropic]]:https://www.anthropic.com}} : Known for developing the Claude family of large language models, which prioritize safety and ethical AI development, offering a strong alternative for conversational AI and complex reasoning tasks. {{[[Google]]:https://ai.google/}} : A major player with its Gemini family of multimodal models, designed