Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Malate Acid to boost magnesium (green apples, tart cherries).
Andrew Huberman • Dr. Rhonda Patrick: Micronutrients for Health & Longevity
Think about emotions as elements of the brain and body made of these three elements. Around these center most theories of emotion.
Andrew Huberman • The Science of Emotions & Relationships
Why Infinity:
Infinity provides the following features:
Infinity provides the following features:
- Deploy virtually any SentenceTransformer - deploy the model you know from SentenceTransformers
- Fast inference backends : The inference server is built on top of torch, fastembed(onnx-cpu) and CTranslate2, getting most out of your CUDA or CPU hardware.
- Dynamic batching : New embedding requests
michaelfeil • GitHub - michaelfeil/infinity: Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of sentence-transformer models and frameworks.
Equally, you could use ChatGPT with a code interpreter, some plugins and a text file full of saved prompts - but it might be better for those tasks to be unbundled into tools. This year there’s been a wave of hundreds and perhaps thousands of first drafts of this - the so-called ‘thin ChatGPT wrappers.’ The prompt is an API call and ‘prompt... See more
Benedict Evans • Unbundling AI
If you’re just an API call with a GUI, you probably don’t have much of a moat. But on the other hand, everyone in tech today is wrapping something else at some level. Snap uses Google Cloud for storage, but we don’t call it a ‘thin GCP Wrapper’.
A legal software company might use GCP translation and AWS sentiment analysis just as it used AWS data storage, but it used them to build something that law firms could buy, with a lot of other product around that, and a sales force and understanding of what lawyers needed, and it didn’t worry at all about competition from AWS. And then, as part of that product, it might built its own models with its own data doing things that the hyperscalers did not.
A thread pool is a collection of pre-initialized threads that can be used to execute tasks. Instead of starting a new thread for each task (which can be resource-intensive), a thread from this pool is reused to perform the task. This approach is beneficial for handling multiple operations in parallel, especially when these operations are blocking... See more
Saverio Mazza • FastAPI: Thread Pool and Event Loop
Here's a list of those log levels from lowest precedence to highest:
notset (0) - Indicates that ancestor loggers should be consulted for the log level or that all events are logged (default setting)
debug (10) - Detailed information that would be of interest to the developer for diagnostic purposes
info (20) - Information that confirms that your... See more
notset (0) - Indicates that ancestor loggers should be consulted for the log level or that all events are logged (default setting)
debug (10) - Detailed information that would be of interest to the developer for diagnostic purposes
info (20) - Information that confirms that your... See more
Shortwave — The smartest email app on planet Earth
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mfmpod.comInstant hosting
for Python apps
Hosting for any Python project, big or small. Run AI / ML inference, FastAPI apps, or cron jobs. Beam is the easiest way to run Python on the cloud.
for Python apps
Hosting for any Python project, big or small. Run AI / ML inference, FastAPI apps, or cron jobs. Beam is the easiest way to run Python on the cloud.
Instant hosting for Python apps • Beam
With Quary, engineers can:
View the documentation.
- 🔌 Connect to their Database
- 📖 Write SQL queries to transform, organize, and document tables in a database
- 📊 Create charts, dashboards and reports (in development)
- 🧪 Test, collaborate & refactor iteratively through version control
- 🚀 Deploy the organised, documented model back up to the database
View the documentation.