It’s kind of crazy we went from “oh yeah open source might one day be cheap/competitive with OpenAI” to getting like a half dozen endpoints for a model that basically matches GPT 3.5-Turbo in a week—and some of them are half the price.
LLMS
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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: -
Chatbot Applications: Key Use Cases for Large Language Models
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Yes specially for chatbot applications
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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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Empowering LLMs with External Tools and Functions
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Building An LLM-Powered Analyst This great article deep dives on how to empower LLMs with external tools using OpenAI functions At a **19 minute** minute, it's pretty comprehensive It examines two use cases: extraction to get structured output and routing to use external
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Open Pretrained Transformers: Stanford MLSys Deep Learning Advances
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Open Pretrained Transformers – Susan Zhang | Stanford MLSys #77 https://
youtube.com/watch?v=p9IxoS
kvZ-M&t=1s
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#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Essential Resources for Data Science ML AI and LLM Learning
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End of this thread! If you are looking to learn more about
Data Science
ML/DL/AI
Analytics
Math & Statistics
Resources
LLMs
MLOps Then, Don't forget to follow me at @avikumart_ for upcoming posts -
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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RLHF: Aligning LLMs with Human Values and Preferences
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Reinforcement Learning from Human Feedback (RLHF) is currently the main method for aligning LLMs with human values and preferences. RLHF is also used for further tuning a base LLM to align with values and preferences that are specific to your use case.