Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Open source, high-throughput, fault-tolerant vector embedding pipeline
Simple API endpoint that ingests large volumes of raw data, processes, and stores or returns the vectors quickly and reliably
Simple API endpoint that ingests large volumes of raw data, processes, and stores or returns the vectors quickly and reliably
dgarnitz • GitHub - dgarnitz/vectorflow: VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.
Burnout and Neuroscience
Components:- Neural tissue: motor neurons cause muscles to contract and shorten, spindle neurons rap around muscle fibers and sense the stretching in the muscle. If it’s stretching a signal is send to the motor neurons in the spinal cord, which ensures the muscle contracts to keep the range of motion in a safe range. At the end of each muscles you... See more
Andrew Huberman • Improve Flexibility with Research-Supported Stretching Protocols
Estrogen increases the receptivity of sex.
Andrew Huberman • The Science of How to Optimize Testosterone & Estrogen
baserun.ai💪💪💪
Testing & Observability Platform for LLM Apps
From prompt playground to end-to-end tests, baserun helps you ship your LLM apps with confidence and speed.
Testing framework for LLM Part
The new seed parameter enables reproducible outputs by making the model return consistent completions most of the time. This beta feature is useful for use cases such as replaying requests for debugging, writing more comprehensive unit tests, and generally having a higher degree of control over the model behavior. We at OpenAI have been using this... See more
New models and developer products announced at DevDay
Coding is a creative pursuit! Creativity thrives under constraints. Adding the “constraint” of a clear problem to solve allows engineers the freedom to explore and create a solution in the way they see fit.
The best engineers I know are product-minded: thinking about solving the problem for humans first and foremost, which leads to the next point.
The best engineers I know are product-minded: thinking about solving the problem for humans first and foremost, which leads to the next point.
Leonardo Creed • 7 simple habits of the top 1% of engineers
Analyze user queries and feedback to identify topic clusters, capabilities, and areas of user dissatisfaction. This will help you prioritize improvements.
Why should we do this? Let me give you an example. I once worked with a company that provided a technical documentation search system. By clustering user queries, we identified two main issues:
Why should we do this? Let me give you an example. I once worked with a company that provided a technical documentation search system. By clustering user queries, we identified two main issues:
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Systematically Improving Your RAG - jxnl.co
Sympathetic nervous system (responsible for attention) has a 24 hour cycle. We have altradian rhythms during the day: