Very interesting read. If we apply similar idea to build in a safe mode trigger, it can probably stay robust even after custom fine-tuning.
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Surprising AI Capabilities: PDFs, Images, Code Execution
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I totally agree with you. I guess, for me, it's more about the extent of the things they can do. Like, people may not be aware that they can "talk" to a PDF, replicate image styles, or run code natively, etc.
To this day, I still get surprised by the things it can do, so it's -
LangChain v0.1 Graph QnA: Learning LLM Integration
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Graph QnA with LangChain v0.1 @tb_tomaz has some of the best content out there on how to use LLMs to interact with graphs Over the weekend, he updated all his content to use LangChain v0.1 Perfect opportunity to jump in and start learning https://
github.com/tomasonjo/blog
s/tree/master/llm
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Enterprise LLMs: Abacus.AI’s Open-Source Retrieval APIs Solution
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Enterprise adoption of LLMs has exploded yet building custom LLMs on your own knowledge base remains challenging. At http://
Abacus.AI, we have our own open-source Retrieval APIs based on our enterprise AI platform. But here’s what makes us unique: •Choose your own LLM -
Building Question Answering Apps for Audio Data
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Good quick overview of how to build a question/answering app over audio data!
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CodeQAI: Local Code Search with Vector Embeddings and LLMs
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👨💻codeqai
— LangChain (@LangChain) 15 janvier 2024
100% local code search and chat powered by vector embeddings and LLMs
Uses a lot of awesome tech to accomplish this!
🌲Tree sitter (for splitting code files)
🧱Sentence Transformers and Instructor embeddings
🌎FAISS
🦙Llama Cpp and @ollama https://t.co/AMxujuMSRG pic.twitter.com/WKKuK3LgALcodeqai 100% local code search and chat powered by vector embeddings and LLMs Uses a lot of awesome tech to accomplish this! Tree sitter (for splitting code files)
Sentence Transformers and Instructor embeddings
FAISS
Llama Cpp and @ollama https://
github.com/fynnfluegge/co
deqai
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Building Full Stack Restaurant Finder App React Amplication
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Creating a Full Stack Restaurant Finder Web Application Using React and @amplication – Creating the backend(Data models, APIs, Database, Auth, GitHub, etc) – Creating Frontend (Various components using React) – Connecting backend and frontend.
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GPT-4 Text Handling and Information Hiding Techniques
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Part of the magic is that GPT-4 can read text written this way but in any other context you would need a decoder on the other side. And if you allow a decoder there are lots of ways to hide information in non-printing chars like ZWSP etc.
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Hugging Face History: From Chatbot to Transformers Library
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you’re a real NLP person if you remember that Hugging Face started as an AI girlfriend chatbot company and huggingface/transformers used to be called pytorch-pretrained-bert
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LLMs’ Value in Simplifying Technical Tasks like Matplotlib Usage
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If LLMs achieve nothing but letting you use matplotlib without docs it will all have been worth it.