Big vs. Small, Open Source vs. API Based, the Philosophical Frictions of Foundation Models

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📝 Guest Post: How to Enhance the Usefulness of Large Language Models*

Wednesday, April 19, 2023

In this guest post, Filip Haltmayer, a Software Engineer at Zilliz, explains how LangChain and Milvus can enhance the usefulness of Large Language Models (LLMs) by allowing for the storage and

Edge 283: Federated Learning and Differential Privacy

Wednesday, April 19, 2023

Applying deferential privacy to federated learning(FL) scenarios, Meta AI's research and the best open source frameworks in this area. ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌

Edge 281: Cross-Device Federated Learning

Tuesday, April 11, 2023

Cross device federated learning(FL), Google's work on FL with differential privacy and the FedLab framework ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌

📝 Guest Post: Caching LLM Queries for Improved Performance and Cost Savings*

Monday, April 10, 2023

If you're looking for a way to improve the performance of your large language model (LLM) application while reducing costs, consider utilizing a semantic cache to store LLM responses. By caching

The LLama Effect: How an Accidental Leak Sparked a Series of Impressive Open Source Alternatives to ChatGPT

Sunday, April 9, 2023

Sundays, The Sequence Scope brings a summary of the most important research papers, technology releases and VC funding deals in the artificial intelligence space. ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌

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