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...
[CL]《How to Train Data-Efficient LLMs》N Sachdeva, B Coleman, W Kang, J Ni, L Hong, E H. Chi, J Caverlee, J McAuley, D Z Cheng [Google DeepMind] (2024) http://t.cn/A6Y6plVH #机器学习##人工智能##论...
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 model...
As LLMs get used at large scale, it is critical to measure and detect anyResponsible AI(opens in new tab)issues that arise.Azure OpenAI(opens in new tab)(AOAI) provides solutions to evaluate your LLM-based features and apps on multiple dimensions of quality, s...
Llama.cppis a C and C++ based inference engine for LLMs, optimized for Apple silicon and running Meta’s Llama2 models. Once we clone the repository and build the project, we can run a model with: $ ./main -m /path/to/model-file.gguf -p "Hi there!" ...
To add to this, vim is smart enough to use the contents of the / register if you simply leave out the search pattern in a :substitute command. For instance if you've searched for foo, then do :s//bar vim will replace foo with bar without any copying or pasting necessary. –Randy ...
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During a medical visit, a doctor or nurse probably jots down notes to document the conversation. They’re likely rough and maybe messy. An LLM can take those notes and summarize them into a nice paragraph. Q&A chatbot For general medical information, LLMs can power Q&A chatbots. Rather tha...
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. ...
Now I want to export it's output which is type (str). How I can I save it's output results in a dataframe or any other form that I can use for future purpose. gf = df['findings'].astype(str) preprocess_text = gf.str.strip().replace("\n","") t5_prepared_Text = "summarize...