Speaker at “Pieces of Memory”. Fine Tune your LLM Model Speaker at “Pieces of Memory”. Fine Tune your LLM Model Speaker at “Pieces of Memory”. Fine Tune your LLM Model

Hi, Recently I was a speaker at “Pieces of Memory” hosted by Ali Mustafa. We talk about a lot of things realted to Large Language Models. We talked about how we can fine tune LLM models as per our needs,…

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You’ve encountered the frustrating TypeError: Missing parameter name at ${i}: ${DEBUG_URL} error in your Express.js application, and despite your best efforts, it persists. This often indicates an issue with how routes, particularly those with wildcards or parameters, are defined, especially…

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The way developers access “.vsix” files for Visual Studio Code extensions has changed. Previously, downloading these files directly from the VS Code Marketplace website was straightforward. However, this option is no longer readily available, causing a hurdle for those needing…

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When working with Natural Language Processing (NLP) models, particularly transformers like BERT, tokenization is a fundamental step. The “tokenizer.encode_plus” method from the Hugging Face “transformers” library is a popular choice for this. However, you might encounter errors, and this guide…

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When working with LangChain, a powerful framework for developing applications with large language models, you might encounter errors that can temporarily halt your progress. One such common hiccup involves the “ChatPromptTemplate.from_messages” method, often leading to a ValidationError. This guide will…

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When working with Sentence-BERT models to generate embeddings for a large corpus of text, a common challenge arises: the encoding process can be incredibly time-consuming. If you have a dataset with hundreds of thousands of sentences, re-generating these embeddings every…

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