Build, learn and collaborate on open-source AI

The Developer Hub is a vibrant community designed for developers to build, learn, and collaborate on open-source AI projects. Here, you can find resources, tutorials, and forums to enhance your skills and connect with like-minded individuals.

Utilize our collaboration tools to work effectively with your team. From version control systems to project management software, we provide the resources you need to streamline your workflow and achieve your project goals.

Explore a variety of learning resources available at the Developer Hub. Whether you are a beginner or an experienced developer, you will find tutorials, articles, and videos that cater to your learning needs and help you grow your skills.

Join us in contributing to open-source AI projects. Your contributions can make a significant impact on the community and help advance technology. Learn how to get started and find projects that align with your interests.

Participate in our community forums to discuss ideas, ask questions, and share knowledge. The Developer Hub is a place where you can connect with other developers and gain insights from their experiences.

Stay informed about upcoming events and webinars hosted by the Developer Hub. These events provide valuable opportunities to learn from experts, network with peers, and stay updated on the latest trends in AI development.

Our mentorship program connects experienced developers with those looking to learn and grow. Whether you need guidance on a project or career advice, our mentors are here to help you succeed in your journey.

Access comprehensive API documentation to help you integrate and utilize various AI services. Our documentation is designed to be user-friendly, providing clear examples and detailed explanations to assist you in your development process.

Discover inspiring success stories from developers who have made significant contributions to the AI community. Learn about their journeys, challenges, and how they overcame obstacles to achieve their goals.

Familiarize yourself with best practices in AI development. Our resources cover essential topics such as coding standards, testing methodologies, and deployment strategies to help you create high-quality applications.

Your feedback is important to us. Share your suggestions and ideas to help improve the Developer Hub. We are committed to creating a supportive environment that meets the needs of our community.

Access a vast library of resources, including eBooks, research papers, and case studies related to AI development. Our resource library is designed to support your learning and provide valuable insights into the field.

Participate in networking events to connect with other developers, industry leaders, and potential collaborators. Building a strong network can open doors to new opportunities and partnerships in the AI space.

Take advantage of our code review services to improve your coding skills. Our experienced developers will provide constructive feedback on your code, helping you to enhance your programming abilities and project outcomes.

Utilize our project showcase platform to display your work. This is an excellent way to gain recognition and feedback from the community, as well as to inspire others with your innovative ideas and solutions.

Explore a wide range of tutorials and guides tailored for developers at all levels. Our resources cover various topics, from beginner to advanced, ensuring you have the knowledge needed to succeed in AI development.

Engage in community challenges to test your skills and creativity. These challenges are designed to encourage collaboration and innovation, providing a fun way to learn and grow as a developer.

Join discussions on AI ethics and its implications in society. This is an important topic that requires thoughtful consideration, and your insights can contribute to a better understanding of ethical AI development.

Instead of scanning dozen of emails, create audio briefings for your commute. Try feeding in our AI newsletter!

Turn your study materials into structured learning with spaced repetition.

Upload your museum content to craft your own guide. Ask it for quick facts, or summaries about any artifact.

This episode is for listeners who enjoy a bit of attitude with their insights. Hosts are encouraged to use plenty of sarcasm and cultural references.

Suggested phrases:

“Here’s the tea”, “You know what? Let me just say it… no, wait, I have to say it”, “Hold up, did you just say that?”

This episode invites listeners into a thoughtful exploration. No need to oversimplify or rush the discussion—let the ideas breathe and evolve organically.

Suggested phrases:

"This is where it gets interesting…", "The question that keeps coming up for me is…"

Learn how to create an ultra-low dependency RAG application using only sqlite-vec, llamafile, and bare-bones Python — no other dependencies or "pip install"s required! Watch the event recording here!

Pleias released Pleias 1.0 models, a family of fully open small language models that features two specialized models for knowledge retrieval with unprecedented performance for their size on multilingual RAG. These represent the first ever models trained exclusively on open data (i.e., non-copyrighted or published under a permissible license), being the first fully EU AI Act compliant models, and setting a new standard for safety and openness.

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Learn about Blueprints - open source building blocks for AI applications - and how to build with the blueprint 'Document to Podcast', which transforms text into podcast-style conversations using entirely open source tools and models.

UC Berkeley's NovaSky team has released Sky-T1-32B-Preview, a 32-billion-parameter open-source model that matches OpenAI’s o1-preview on key benchmarks.The model offers advanced reasoning in math and coding, achieving high performance with a training cost below $450.

Pleias has released Common Corpus, the largest public domain dataset for training LLMs, containing 500 billion words across multiple languages. The project demonstrates that LLMs can be trained on fully open, copyright-cleared content.

Get ready for a hands-on demo of the AI-powered Theia IDE—a truly open, transparent, and flexible AI-driven development environment. Watch the event recording here!

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Everything Open is a conference centered on open technologies like Linux, open source software, hardware, and data, along with their communities. It offers technical deep-dives and insights from industry leaders on a wide range of related topics.

Mistral AI has released Codestral, an open-weight generative AI model explicitly designed for code generation tasks. Codestral is trained on a diverse dataset of 80+ programming languages, and it sets a new standard on the performance/latency space for code generation compared to previous models used for coding. As it masters code and English, it can be used to design advanced AI applications for software developers.

PD12M is a large dataset of 12.4 million public domain images with synthetic captions, aimed at addressing copyright concerns in AI training data. With the dataset, Spawning introduced a novel governance framework that enables public auditing, statistical stability, and community feedback through their Source.Plus platform.

Learn about Web Applets open standard & SDK, and how to use it to create rich, graphical client-side apps that can be used by both agents and humans.

FOSDEM is a community-driven event that brings together open source developers and communities. It offers a platform to connect, learn about the latest open source developments, and promote the benefits of free software and open solutions.

LangChain implemented an email assistant showcasing ambient agent patterns. Unlike traditional chatbots that require the users to send a message every time they want the agent to do work, ambient agents proactively assist users by responding to contextual signals rather than waiting for direct prompts. They can manage multiple tasks simultaneously and incorporate human-in-the-loop elements for notifications, queries, and action reviews, ensuring user control and trust.

Mistral AI has updated its free platform "le Chat" with several new features, including web search with citations, a Canvas interface for content creation and editing, and advanced document analysis powered by their new Pixtral Large multimodal model.

Linda Dounia Rebeiz is a Senegalese artist who was disappointed when searches for her home city of Dakar on text-to-image generative AI tools showed low-rise, decaying buildings that were not at all representative of the vibrant architecture surrounding her. This is part of the reason why Linda uses her own datasets to carefully train AI that will more accurately reflect her reality.

SOOCon is the UK's open technology conference on open-source software, open hardware, open data, open standards, and AI openness.

The authors present a new benchmark, metric, and curriculum learning-based model to improve multimodal reasoning. The model achieves state-of-the-art performance with enhanced generalization, efficiency, and robustness, highlighting the importance of step-by-step reasoning for complex tasks.

Join us as we gather together the entire Bay Area tech community and its most brilliant creators for a night of mind-blowing demos that push the boundaries of what's possible!