Inviting Projects that aim to:
-Build robust AI tools and frameworks
-Develop indigenous solutions tailored to India’s socio-economic landscape
-Foster ethical, fair, and responsible AI applications across sectors
OPEN SOURCE
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India AI Projects: Ethical Tools and Indigenous Solutions
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GitHub LLM Engineers Handbook Repository Reaches 2000 Stars
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I also recommend checking the GitHub repo, which contains all the code and already has over 2k stars. GitHub: https://
github.com/PacktPublishin
g/LLM-Engineers-Handbook
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WhatsApp Loader Development and Messaging App Integration
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oh yea, this looks pretty promising too. even found whatsapp.
no imessage or IG though, but it looks like it's pretty easy to spin up a loader too.
thanks for the pointer. -
Onyx Connectors: Promising Integration Infrastructure for Data Sources
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this looks promising, the connectors list is quite long and has integration to a lot of things that I want.
thanks for the pointer. https://
github.com/onyx-dot-app/o
nyx/tree/main/backend/onyx/connectors
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Open Source Personal Data Aggregation Tool Integration
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Glean for personal/self-hosted: is there an open source / self-hosted project that integrates pulling context from gmail, docs, sheets, calendar, whatsapp, ig, imessage, etc.?
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Meta FAIR Releases Theory-of-Mind Research with Dataset and Code
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New research from Meta FAIR — Meta Explore Theory-of-Mind: Program guided adversarial data generation for theory of mind reasoning. This work includes a new research paper, code & a dataset on @HuggingFace
. Details + eight more new releases from FAIR https://
go.fb.me/750ao2 -
Abacus AI LLM Fine-Tunes API Offers Affordable Open-Source Performance
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Check out the @AbacusAI "LLM Fine-Tunes" inference API = Unlocks the power of affordable, Open-Source #LLMs — exceeds #GPT4o performance and is cheaper! Start here: https://
abacus.ai/llmapi
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#LLMOps #AI #GenerativeAI #MachineLearning #MLOps #ML #GenAI #DeepLearning #DataScience -
Search and Learn: Lightweight LLM Search Toolkit with vLLM
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Search and Learn: A lightweight toolkit for implementing search strategies with LLMs and built for speed with vLLM. You can check it out here.
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DeepMind’s Compute-Optimal Scaling for Open Models
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this blog cover: Compute-optimal scaling: How we implemented DeepMind’s recipe to boost the mathematical capabilities of open models at test-time. https://
huggingface.co/spaces/Hugging
FaceH4/blogpost-scaling-test-time-compute
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