trulens
fish-shell
trulens | fish-shell | |
---|---|---|
14 | 320 | |
1,629 | 24,593 | |
7.9% | 0.9% | |
9.8 | 9.9 | |
4 days ago | 4 days ago | |
Jupyter Notebook | Rust | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
trulens
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Why Vector Compression Matters
Retrieval using a single vector is called dense passage retrieval (DPR), because an entire passage (dozens to hundreds of tokens) is encoded as a single vector. ColBERT instead encodes a vector-per-token, where each vector is influenced by surrounding context. This leads to meaningfully better results; for example, here’s ColBERT running on Astra DB compared to DPR using openai-v3-small vectors, compared with TruLens for the Braintrust Coda Help Desk data set. ColBERT easily beats DPR at correctness, context relevance, and groundedness.
- FLaNK AI Weekly 18 March 2024
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First 15 Open Source Advent projects
12. TruLens by TruEra | Github | tutorial
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trulens VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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How are generative AI companies monitoring their systems in production?
3) Hallucination is probably the biggest problem we solve for. To do evals for hallucination, we typically see our users use a combination of groundedness (does the context support the LLM response) and context relevance (is the retrieved context relevant to the query). There's also a bunch more for the evaluations you mentioned (moderation models, sentiment, usefulness, etc.) and it's pretty easy to add custom evals.
Also - my hot take is that gpt-3.5 is good enough for evals (sometimes better) than gpt-4 if you give the LLM enough instructions on how to do the eval.
website: https://www.trulens.org/
- FLaNK Stack Weekly 28 August 2023
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[P] TruLens-Eval is an open source project for eval & tracking LLM experiments.
The team at TruEra recently released an open source project for evaluation & tracking of LLM applications called TruLens-Eval. We’ve specifically targeted retrieval-augmented QA as a core use case and so far we’ve seen it used for comparing different models and parameters, prompts, vector-db configurations and query planning strategies. I’d love to get your feedback on it.
- [D] Hardest thing about building with LLMs?
- Stop Evaluating LLMs on Vibes
- OSS library for attribution and interpretation methods for deep nets
fish-shell
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FAQ on the xz-utils backdoor – via a project dev
Reminds of the note at the bottom of Fish's releases. It's there because the build system cannot determine the current version for some reason. Hopefully that will go away now that they have switched to a different language / build system. The custom tarball is used by Arch Linux at the very least.
https://github.com/fish-shell/fish-shell/releases/tag/3.7.1
https://github.com/fish-shell/fish-shell/issues/7772#issueco...
https://gitlab.archlinux.org/archlinux/packaging/packages/fi...
- Oh My Zsh
- Proposal for porting fish-shell from C++ to Rust
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Converting the Kernel to C++
A recent practical example of the former: the fish shell re-wrote incrementally from C++ to Rust, and is almost finished https://github.com/fish-shell/fish-shell/discussions/10123
An example of the latter: c2rust, which is a work in progress but is very impressive https://github.com/immunant/c2rust
It currently translates into unsafe Rust, but the strategy is to separate the "compile C to unsafe Rust" steps and the "compile unsafe Rust to safe Rust" steps. As I see it, as it makes the overall task simpler, allows for more user freedom, and makes the latter potentially useful even for non-transpiled code. https://immunant.com/blog/2023/03/lifting/
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Fish shell 3.7.0: last release branch before the full Rust rewrite
And this discussion from November has an update on the progress: https://github.com/fish-shell/fish-shell/discussions/10123
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Day 5 - More or less...
We're using bash as our terminal shell for now (it is standard in many distros) but it is not the only one out there. If you want to test out zsh, fish or oh-my-zsh, you will see that there are a few differences and the features are usually the main differentiator. Try that, poke around.
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Fish – Update on the Rust Port
They have a variety of reasons to move to rust, as outlined in their original rust discussion[1]. Mostly around finding other contributors, and adding an async/parallel mode they're comfortable with.
[1] https://github.com/fish-shell/fish-shell/pull/9512
- Devuan アップグレード: 4 から 5 Daedalus へ
What are some alternatives?
langfuse - 🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
powerlevel10k - A Zsh theme
shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
starship - ☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
probability - Probabilistic reasoning and statistical analysis in TensorFlow
nushell - A new type of shell
LIME - Tutorial notebooks on explainable Machine Learning with LIME (Original work: https://arxiv.org/abs/1602.04938)
oh-my-fish - The Fish Shell Framework
embedchain - Personalizing LLM Responses
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.
machine_learning_basics - Plain python implementations of basic machine learning algorithms
tokyonight.nvim - 🏙 A clean, dark Neovim theme written in Lua, with support for lsp, treesitter and lots of plugins. Includes additional themes for Kitty, Alacritty, iTerm and Fish.