Account with 3.7 million followers forgets to remove the introduction written by an AI language model
LLMS
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Token Max Parameter in ReduceDocumentChain and ConversationalRetrievalChain
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Token Max parameter This impacts the ReduceDocumentChain, which can often be used to power the ConversationalRetrievalChain This parameter controls how large of chunks (in token length) to combine documents into before reducing Docs:
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LLM Guidelines for Training, Finetuning, and Inference
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I am not aware of a guideline, but it usually also depends on what you are after: (pre)training, finetuning, inference. We have a unified codebase for several LLMs you can try here: https://
github.com/Lightning-AI/l
it-gpt
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Google and OpenAI Leaders in AI and Machine Learning
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@jeevprabnivash @Google @OpenAI #ai #gpt3 #AImodel #MachineLearning #INDIAai
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ChatGPT GPT-3 Transformers Revolutionizing NLP Solutions
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Did you know that ChatGPT is based on GPT-3’s language model that uses transformers? Many NLP-based issues are being solved using these advanced methodologies due to the transformer revolution we are experiencing. Want to read more about it? Tap here: https://
rb.gy/kardq -
LLM Studio: Latest Advancements with Expert Instructor Andreea Turcu
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Led by our expert instructor Andreea Turcu, you’ll gain insights into the latest advancements and groundbreaking features that make LLM Studio a game-changer in the field of AI.
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Explore H2O.ai’s LLM Studio and Language Models Possibilities
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Join us on an exciting journey through http://
H2O.ai’s #LLMStudio. In this demo, we’ll explore the limitless possibilities that Language Models hold and how http://
H2O.ai’s LLM Studio takes it to the next level -

Training GPT-4 Style Language Models with Multimodal Inputs
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What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? paper page: https://
huggingface.co/papers/2307.02
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… Recent advancements in Large Language Models (LLMs) such as GPT4 have displayed exceptional multi-modal capabilities in following open-ended instructions given -

Robots Asking for Help: Uncertainty Alignment for LLM Planners
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Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
— AK (@_akhaliq) 6 juillet 2023
paper page: https://t.co/h9SdV0Drac
Large language models (LLMs) exhibit a wide range of promising capabilities — from step-by-step planning to commonsense reasoning — that may provide utility… pic.twitter.com/9JH4nAABYJRobots That Ask For Help: Uncertainty Alignment for Large Language Model Planners paper page: https://
huggingface.co/papers/2307.01
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… Large language models (LLMs) exhibit a wide range of promising capabilities — from step-by-step planning to commonsense reasoning — that may provide utility -

Embodied Task Planning with Large Language Models for Robots
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Embodied Task Planning with Large Language Models paper page: https://
huggingface.co/papers/2307.01
848
… Equipping embodied agents with commonsense is important for robots to successfully complete complex human instructions in general environments. Recent large language models (LLM) can embed
