No.
PyTorch was inspired by Torch7 which was developed at NEC Labs and NYU (in my lab).
But PyTorch supported dynamic graphs from the start, which Torch7 couldn't do. You are thinking of Torch3, which was developed at IDIAP in Switzerland. Very different beast.
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PyTorch Dynamic Graphs vs Torch7 Technical Heritage
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LangChain Release Notes: New LLM Integrations and Templates
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LangChain Release Notes Week of 12/11 LangChain Core, LangChain Community, and LangChain v0.1
New LLM integrations like Mixtral and Gemini
5 New LangChain Templates
Lot's of community apps to highlight Read here & sign up to get it in your inbox every other week: -
Lisp-to-C Compiler: Homoiconicity and Language Integration
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I asked Ronan once. He just decided to use odd numbers after the failure of Torch4. Lush was actually pretty awesome, Thanks to some of Léon's magic. It had a Lisp-to-C compiler that allowed to intersperse Lisp and C in a single function.
The homoiconicity of Lisp made it super -
Ronan’s Torch Framework Evolution From PhD to NEC Labs
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Here is the full history in all its gory details. Ronan developed Torch3 during his PhD at IDIAP.
He then developed Torch4 in 2004, but quickly abandoned it. In 2006, he started Torch5, and completed it while at NEC Labs. This was written in C (Ronan positively hated C++ at the -
KHstats: Creating Annotated Forest Plots with ggplot2
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KHstats – Annotated Forest Plots using ggplot2 https://
bit.ly/418C4yF #AI #MachineLearning #DeepLearning #LLMs #DataScience -
LangSmith: Improving LLM Applications in Production
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LangSmith: How to Improve LLM Apps in Production Our friends at @AIMakerspace are doing a deep dive on all things LangSmith With tracing, monitoring, testing, annotating, and collaborating – LangSmith a the full collection of tools
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AI Coding Capabilities: Automating Repetitive Tasks, Not Complex Logic
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There are some good (and funny) videos about this topic on the @fireship_dev channel. I don’t think we’re anywhere close to taking humans out of the loop with programming yet. AI is great at doing a lot of the repetitive basic work of coding but still sucks with the complex logic
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Essential LLM and GenAI Courses Collection for Learning
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Choose from a collection of courses to learn more about LLMs and related applications https://
github.com/avikumart/LLM-
GenAI-Transformers-Notebooks/blob/main/LLM-GenAI-Courses.md
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DeepLearning.AI Releases New Course on RLHF Fine-tuning
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Deeplearning .AI has released a new course on RLHF using google pipeline which can be useful to gain deeper insights about RLHF and fine-tuning using the same. Check the course here and sign up to learn more
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Beyond Language: Why GPT-4 Needs Training Data
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long story short, my task can't be completed by GPT-4; the data isn't only language, it includes continuous vectors, so you really need training data for this