I have a whole bunch of repos these days that use GitHub Actions to effectively "compile" a SQLite database from flat files at deploy time – this one for example https://
github.com/simonw/til/blo
b/b65ac961270a021c9648f640152a1804871f79d7/.github/workflows/build.yml#L49
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GitHub Actions Compiles SQLite Database from Flat Files
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SQLite as Fast C API for Efficient Data Access
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I mainly see SQLite as a fast C API for accessing subsets of data from a file on disk, optionally using indexes to speed up that access It makes all of the decisions about what gets read into memory and when for me, so I can pretty much ignore those low level details entirely
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Langchain Python Package Implements Advanced LLM Prompting Techniques
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@hwchase17
's Python package Langchain implements and lets you easily compose many published LLM prompting techniques. Implements self-asking, web search, REPL math, and several of my own prompts. -
Humanloop Playground enhances prompts and API endpoint creation for AI
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First up, @humanloop has a Playground that brings variable interpolation to prompts and lets you turn them into API endpoints. Once you're deployed, it also lets you collect past generations along with user behavioral feedback for fine-tunes. https://
humanloop.com -
Reincarnating RL: Efficient Reinforcement Learning from Prior Computation
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Training #ReinforcementLearning algorithms from scratch is computationally intensive and time consuming. We propose an alternate approach, Reincarnating RL, that integrates prior computation into the RL training workflow. Learn more and grab the code at https://t.co/XwfX0uakJZ pic.twitter.com/ktaQznCD1a
— Google AI (@GoogleAI) 3 novembre 2022Training #ReinforcementLearning algorithms from scratch is computationally intensive and time consuming. We propose an alternate approach, Reincarnating RL, that integrates prior computation into the RL training workflow. Learn more and grab the code at https://
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DALL·E API Launch Enables Developer Integration
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We’ve just launched the DALL·E API so developers can integrate DALL·E directly into their own apps and products.
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Cohere Empowers Everyone to Build AI Apps Without NLP Expertise
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At Cohere, we want to empower everyone—from beginners to experts—to build apps, products, services, or even entire companies on top of our language AI platform without having extensive expertise in NLP.
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Cohere Launches Sandbox Open-Source Packages for LLM Development
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We are excited to announce Sandbox, a set of experimental open-source packages on GitHub that give you the tooling, functions, demos, and libraries you need to get started with large language models (LLMs) fast! Dive in https://
txt.cohere.ai/introducing-sa
ndbox-coheres-experimental-open-source-initiative/
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Appliance Mode for Training Massive ML Models Introduced
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ICYMI we recently had a developer community meeting where we introduced our Appliance Mode for training massive ML models. You can watch our recording here: https://
hubs.li/Q01rkJ9S0 Want to join our next meeting? Sign up here! https://
hubs.li/Q01rkHTb0 #ML #machinelearning #ai -
Topically: LLM-powered topic modeling tool suite launched
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Topically is out! Launch it https://
github.com/cohere-ai/sand
box-topically
… Topically: A suite of tools that help you use the best of topic modeling to make sense of text collections (messages, articles, emails, news headlines, etc.) using large language models.