Even in the joke you are normalizing the use of the tools. Also, you're sharing someone's work without credit.
TOOLS
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Frontier Models, RAG, and AI Agents in Enterprise
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In addition to reviewing the positives & negatives of the three frontier models, this post has some of my more provocative takes for people using AI inside organizations, including why RAG may not be the future, and why agents like Devin the Coder might be
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TheProfessor: Advanced LLM Merging for Conversational AI and Scientific Applications
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TheProfessor is a merge of #LLMs, created with help from @AbacusAI
's #GenerativeAI team. It can be used for many things with its conversational #AI, reasoning, scientific, medical, & mathematical skills interactive brainstorming: https://
huggingface.co/abacusai/ThePr
ofessor-155b
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Local Bot Quest for Automated Writing Tasks
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tbf writing is my least favorite part of this job but my year-long quest to build a local bot (explicitly not an API) that can successfully do this part of my job for me has thus far not been successful
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RAG Query Routing: Handling Multiple Datastores
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RAG From Scratch: Routing Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the 10th video in our series and focuses on query routing. Problem: We often have multiple possible datastores (e.g., different vectorDBs,
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RAG Complexity: Query Understanding and Document Retrieval Challenges
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RAG is difficult to get right because the system has to understand your query before retrieving the appropriate documents from the vector store. It’s a complex machine-learning problem and you have to solve for multiple parts: query re-writing, efficient retrieval, re-ranking,
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Voyage AI Embedding Integration Package for LangChain
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@Voyage_AI_ Embedding Integration Package Use the same custom embeddings that power Chat LangChain via the new langchain-voyageai package! Recommended by @AnthropicAI as their preferred embedding provider, Voyage AI builds custom embedding models for your company or
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RepoToTextForLLMs Reaches 300 Stars on GitHub
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RepoToTextForLLMs just passed 300 stars on GitHub! Appreciate all the support. It's great to create something that resonates with so many.
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Leverage Pre-trained NLP Models Inside Your Database with MindsDB
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That's how you can leverage the pre-trained Models from HF and Open AI to build NLP Applications right inside your DB. MindsDB is Open Source, check out the Github Repo here: https://
github.com/mindsdb/mindsdb -
Wait for HF Model Setup Completion Before Text Classification
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Once you set up the HF Model wait until the Status is "completed" Now use the model to classify the Text.