MIT researchers found that massive neural nets (e.g. large language models) are capable of storing and simulating other neural networks inside their hidden layers, which enables LLM to adapt to a new task without external training: https://
bit.ly/3jIiesP
LLMS
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MIT Researchers Discover LLMs Store Neural Networks Internally
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Hugging Face Inference Endpoint Integration in LangChain
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@huggingface inference endpoint integration If you've deployed your Hugging Face model to an inference endpoint, you can use it easily in LangChain! s/o @EnoReyes for adding Inference Endpoint Docs: https://
huggingface.co/inference-endp
oints
… Code: https://
github.com/hwchase17/lang
chain/blob/master/langchain/llms/huggingface_endpoint.py
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Baidu Stock Surges 15% After Announcing Ernie Bot ChatGPT Competitor
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The ChatGPT theme is making waves on the global stock markets with @Baidu_Inc stock jumping 15% after the company announced Wenxin Yiyan (or Ernie Bot in English.) #BaiduErnieBot #ErnieBot #ChatGPT #AIChatbot http://
ow.ly/PJs450MLICm -
Google LaMDA Becomes Main Project to Counter ChatGPT
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The same Google LaMDA that had everyone going crazy last summer over claims of sentience is now the company’s main project to stay relevant in a ChatGPT age. // $GOOGL @OpenAI @GoogleAI // #AI #artificialintelligence #deeplearning #chatgpt #LaMDA
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Google Unveils Bard: New AI Competitor to ChatGPT with Real-Time Web Access
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Get ready for some intense competition in the #ChatGPT world! @Google just unveiled #Bard, their new conversational AI service with access to the latest web info. Be prepared for answers even about current events. #GenerativeAI #ArtificialIntelligence http://
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Did Google Launch BARD Due to ChatGPT’s Popularity?
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Has Google launched BARD because ChatGPT ki popularity BARDaasht nahi hui?
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Bard Explained: Google’s ChatGPT Competitor Detailed
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#AI https://
news18.com/news/india/wha
t-is-bard-googles-answer-to-chatgpt-explained-7018873.html
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GPT-4 Release Speculation: Multimodal Capabilities Expected
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GPT-4 will be here soon!! What wouldn't it be?
A 100 trillion parameter model What would it be?
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Future of Generative AI: Text to Voice Generation Timeline
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The future of #GenerativeAI looks cool. Text generation: (2021)
Image generation: (2022) generation: (2023)
Voice generation: (2024) -
LangChain Methods for Handling Context Window Limits
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check out documentation here: https://
langchain.readthedocs.io/en/latest/use_
cases/question_answering.html
… theres a few different methods for getting around the context window limits!