I am new to LLMs and trying to figure out how to train the model with a bunch of files. I want to train the model with my files (living in a folder on my laptop) and then be able to use the model to ask questions and get answers. With OpenAI, folks have suggested using their...
Part 2: How to Evaluate Your LLM Application Part 3: How to Choose the Right Chunking Strategy for Your LLM Application Part 4: Improving RAG using metadata extraction and filtering What is an embedding and embedding model? An embedding is an array of numbers (a vector) representing a piece...
In this paper, we present our solutions to train an LLM at the 100B-parameter scale using a growth strategy inspired by our previous research [78]. “Growth” means that the number of parameters is not fixed, but expands from small to large along the training progresses. Figure 1 illustrat...
But whereas humans grasp whole sentences, LLMs mostly work by predicting one word at a time. Now researchers from Hong Kong Polytechnic University have tested if a model trained to both predict words and judge if sentences fit together better captured human language. The researchers fed the ...
We didn’t need to train the model on writing sentences using the word “ocean”. We just told it to do so and it figured it out. Another example of prompts with zero-shot learning would be asking the model to translate a sentence from one language to another. I’ve often found that...
The best large language models (LLMs) How to train ChatGPT on your own data ChatGPT vs. GPT: What's the difference? The best ChatGPT alternatives How to use ChatGPT canvas This article was originally published in August 2023. The most recent update was in November 2024. Get productivity...
Interacting with the models today is the art of designing a prompt rather than engineering the model architecture or training data. Dealing with LLMs can come at a cost given the expertise and resources required to build and train your models.NVIDIA NeMooffers pretrained language models that can...
In this work, we test the limits of improving foundation model performance without continual updating through an initial study of knowledge transfer using either existing intra- and inter- domain benchmarks or explanations generated from large language models (LLMs). We evaluate on 12 public bench...
I previously expected open-source LLMs to lag far behind the frontier because they’re very expensive to train and naively it doesn’t make business sense to spend on the order of $10M to (soon?) $1B to train a model only to give it away for free. ...
We need a LLM (Large Language Model) to work from. This is easy, asOllama supports a bunch of modelsright out of the gate. So let’s use one. Ollama will start up in the background. If it hasn’t started, you can type in: ...