Open Source AI - The Future is Now, The Future is On Your Computer
AI Summary
- Introduction to generative AI at home
- Discussion on open source alternatives to ChatGPT and Bard
- Importance of local computer applications for AI
- Open Source Large Language Models (LLMs)
- Meta’s commitment to open source LLMs (Llama 3)
- Google’s internal communications revealing generative AI as a non-unique technology
- Deep Mind’s Alpha Geometry
- Solving complex geometry problems
- Use of 100% synthetic data
- Open source model availability
- Use Cases for Generative AI
- Text generation for eliminating writer’s block
- Image and video generation for creativity
- Music generation for content creation
- Scientific discovery, including patient data analysis and material science
- Running AI Locally
- Benefits of local AI for personal projects and data protection
- Tools like LM Studio, Stable Diffusion, and GPT for all
- Local AI for productivity and personalization
- Future of LLMs
- Prediction of LLMs on mobile devices by end of 2024
- Concept of language models as a form of data compression
- Discovering and Playing with Models
- Resources like LM Studio, local LLM comparison collaborations, and chatbot arenas
- Importance of prompt engineering for improving AI outputs
- Conclusion
- Generative AI’s growing ubiquity in devices and tools
- Online course and in-person event for learning AI applications in business
For more detailed information and resources, consider exploring the mentioned tools and projects, such as LM Studio, Stable Diffusion, and GPT for all, and stay informed about the latest developments in generative AI.