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News & links about Python programming. https://pythonhub.dev/

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Llama 3: Get building with LLMs in 5 minutes Get started building transformative AI-powered features within 5 minutes using Llama 3, Ollama, and Python. https://www.denoise.digital/llama-3-get-started-with-llms/

PyTorch 2.3 PyTorch 2.3 offers support for user-defined Triton kernels in torch.compile, allowing for users to migrate their own Triton kernels from eager without experiencing performance regressions or graph breaks. Tensor Parallelism improves the experience for training Large Language Models using native PyTorch functions, which has been validated on training runs for 100B parameter models. As wel... https://pytorch.org/blog/pytorch2-3/

fudan-generative-vision / champ Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance https://github.com/fudan-generative-vision/champ

llama3 This release includes model weights and starting code for pre-trained and instruction tuned Llama 3 language models — including sizes of 8B to 70B parameters. https://github.com/meta-llama/llama3

Hashquery A Python framework for defining and querying BI models in your data warehouse. https://github.com/hashboard-hq/hashquery

Python Hub Weekly Digest for 2024-04-28 https://pythonhub.dev/digest/2024-04-28/

Leibniz formula for π in Python, JavaScript, and Ruby Different ways to calculate the value of π using the Leibniz ... https://www.peterbe.com/plog/leibniz-formula-for-pi

Develop an Asyncio Echo Client and Server You can develop an echo client and server using asyncio connections and streams. An echo server ... https://superfastpython.com/asyncio-echo-client-server/

An unbiased evaluation of Python environment and packaging tools (2023) https://alpopkes.com/posts/python/packaging_tools/

Testing with Python (part 1): the basics SummaryThis intro is about dumb test writing, as it's the necessary foundation to learn what comes ... https://www.bitecode.dev/p/testing-with-python-part-1-the-basics

Running Python on a serverless GPU instance for machine learning inference I was experimenting with some speech-to-text work using OpenAI’s Whisper models ... https://saeedesmaili.com/posts/running-python-on-a-serverless-gpu-instance/

OpenInterpreter / 01 The open-source language model computer https://github.com/OpenInterpreter/01

Py2wasm – A Python to WASM Compiler https://wasmer.io/posts/py2wasm-a-python-to-wasm-compiler

Python Hub Weekly Digest for 2024-04-21 https://pythonhub.dev/digest/2024-04-21/

FreeAskInternet FreeAskInternet is a completely free, private and locally running search aggregator & answer generate using LLM, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to the ChatGPT3.5 LLM and generate the answer based on search results. https://github.com/nashsu/FreeAskInternet

Cosine Similarity and Text Embeddings In Python with OpenAI The article discusses how to use cosine similarity to compare text embeddings, which are vector representations of text that capture semantic meaning, in order to determine the similarity between different text inputs. It provides example code for calculating cosine similarity between text embeddings generated using the OpenAI API. https://earthly.dev/blog/cosine_similarity_text_embeddings/

SQLAlchemy: The BEST SQL Database Library in Python Ever heard of SQLAlchemy and thought it sounded like a medieval potion? Well, it's not! SQLAlchemy combines the robustness of SQL with Python's flexibility, making database management not just easier, but kinda fun too! In this video, I’ll take a closer look at this awesome tool. https://www.youtube.com/watch?v=aAy-B6KPld8