trulens
LANDrop
trulens | LANDrop | |
---|---|---|
14 | 19 | |
1,646 | 4,660 | |
8.9% | 3.2% | |
9.8 | 0.0 | |
2 days ago | over 1 year ago | |
Jupyter Notebook | C++ | |
MIT License | BSD 3-clause "New" or "Revised" License |
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
LANDrop
- LocalSend: Open-source, cross-platform file sharing to nearby devices
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Show HN: Retriever – Securely share secrets over the internet
Would like to give a shout out to LANDrop (not affiliated) if the users are on the local network. I use it. It's very good at saturating the link bandwidth and traffic is guaranteed not to exit the firewall.
https://github.com/LANDrop/LANDrop
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Localsend: Open-Source Airdrop Alternative
Related projects:
- FlyingCarpet: direct transfer over local adhoc WIFI: https://github.com/spieglt/FlyingCarpet
- LANDrop: Drop any files to any devices on your LAN: https://github.com/LANDrop/LANDrop
- In-browser file transfer similar to Airdrop: https://snapdrop.net/
- Magic Wormhole: simple file transfer from computer-to-computer over the net: https://github.com/magic-wormhole/magic-wormhole
- Croc: similar to magic wormhole: https://github.com/schollz/croc
- Wormhole: user-friendly in-browser based e2e encrypted file transfer: https://wormhole.app/
- FLaNK Stack Weekly 28 August 2023
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LANDrop – Drop any files to any devices on your LAN
Looks like it is not. Maybe someone wants to maintain a fork.
https://github.com/LANDrop/LANDrop/issues/138
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trying to organize study material on ipad
iCloud Drives doesn’t break your file structure, you just drop the whole folders to the iCloud Drives, let it sync, and move them out of iCloud Drive to the internal storage on your iPad. Alternatively there’s plenty of other apps that can do local transfer, like https://landrop.app/. Use another cloud drive service like google drives. Or setup file server on your Mac with SMB and connect it on your iPad: https://support.apple.com/en-us/guide/mac-help/mh17131/10.13/mac/10.13
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AirDrop to Windows PC - Unified Re-release (Send Images, Movies, Links, Files, Text)
i just use LANDrop. its free and has no size limitations.
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Sharing files between ARCH->ANDROID
=> https://landrop.app/
- Can i send files through email directly to my boox device instead of sending them through the BooxApp?
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KDE Connect / Air drop equivalent for Elementary OS 6.1
I've looked... but its seems there isn't an application based solution without requiring app indicator support which is something that eOS doesn't officially have. If you're comfortable modding eOS to have app indicator support you can then use LanDrop or use KDE Connect with an app indicator. You can also use sharedrop.io or snapdrop.net.
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
snapdrop - A Progressive Web App for local file sharing
shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
localsend - An open-source cross-platform alternative to AirDrop
probability - Probabilistic reasoning and statistical analysis in TensorFlow
snapdrop-android - Android client for local file sharing via https://snapdrop.net/ and https://pairdrop.net
LIME - Tutorial notebooks on explainable Machine Learning with LIME (Original work: https://arxiv.org/abs/1602.04938)
servefile - serve or receive files from shell via a small HTTP server
embedchain - Personalizing LLM Responses
sharik - Sharik is an open-source, cross-platform solution for sharing files via Wi-Fi or Mobile Hotspot
machine_learning_basics - Plain python implementations of basic machine learning algorithms
syncthing-android - Wrapper of syncthing for Android.