No Priors: Artificial Intelligence | Technology | Startups Model Quality, Fine Tuning & Meta Sponsoring Open Source Ecosystem
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Oct 9, 2023 Discover the secrets to elevating AI model performance by 10x or even 100x. Explore how fine-tuning and retrieval-augmented generation enhance functionality while addressing issues like AI hallucinations. Dive into Meta's support for the open-source ecosystem and its parallels with historic tech milestones. Plus, find out how emerging social media platforms harness AI for content creation, shaping new entrepreneurial landscapes and user experiences. Tune in to understand the future of AI and its impact on technology.
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Improving AI Systems
- Several factors can significantly improve AI systems, even without needing newer models like GPT-7.
- These include multimodality, longer context windows, model customization, memory, recursion, and specialized model orchestration.
Impact of Fine-Tuning
- Fine-tuning AI models with techniques like RLHF significantly improves their utility, as seen with ChatGPT.
- This customization makes models more effective for specific tasks or user groups.
RAG: Trustworthiness, Cost, and Freshness
- Retrieval Augmented Generation (RAG) allows AI models to reason from specified datasets for better trustworthiness.
- Cost-effectiveness, freshness, and avoiding hallucinations make RAG attractive.