AI and Sensitive Data: Levels of Protection
Learn how to protect your data and leverage AI without compromising on security. I cover levels of security from temporary chats to running local AI models in a Faraday Cage.
GPTs that have clearly received a lot of love
GPTs that have clearly received a lot of love
Grimoire for coding projects; Consensus, which synthesizes information from academic papers; and Universal Primer for in-depth learning on concepts with simplified explanations and examples.
Personalize Your AI Experience: Reasons to Create a Private GPT
Searching for a more personalized AI experience? Creating private GPTs have been a game-changer for me.
Who Cares about GPTs? (part 1 of 5)
Initial expectations of a GPT Store full of low-quality AI were disproven by the presence of highly sophisticated, custom GPTs and recent improvements like GPT-4o.
Metacognition is susceptible to stochasticity
Sam Schillace, Deputy CTO of Microsoft, emphasizes the importance of using code for planning when building with AI. He advises that while LLMs excel in thinking, their planning capabilities are weak, making them unpredictable. Thus, integrating structured code enhances predictability and effectiveness.
Retrieval Unleashed with OpenAI’s new Assistants API
OpenAI’s updated Assistants API introduces advanced features like the file_search tool which optimizes query processing through parallel searches and relevant reranking, handling up to 10,000 files per assistant.
Gmail and ChatGPT in your Dock
Sonoma allows adding web apps like ChatGPT to your dock, enabling easy switching with Command + Tab, like to Gmail.
React Server Components: A New Era of Web Development?
Podcast discussions reveal misconceptions about React Server Components (RSC), highlighting it’s not SSR 2.0.
ChatGPT and Memory
OpenAI incorporates “memory” into ChatGPT, allowing user details to persist between sessions.
The Point of LangChain with Harrison Chase of LangChain
Harrison Chase introduced LangChain on The AI Engineer Podcast, emphasizing its utility for building context-aware reasoning applications using chains and language model agents. Excited about elements like plan-and-execute agents and MultiOn, Harrison addressed comments about the predominance of prompt tuning and data serialization in the workflow. The system works best with OpenAI models, with supportive tools like jsonformer and LCEL available.