LLMs

Large language models (LLMs) like GPT-4, LaMDA, PaLM, and others have taken the world by storm with their remarkable ability to know and generate human-like text on an unlimited range of topics. These models...

Large language models, resembling those who power popular artificial intelligence chatbots like...

ImportsWe start by installing and importing crucial Python libraries.!pip install llama-index!pip install llama-index-embeddings-huggingface!pip install peft!pip install auto-gptq!pip install optimum!pip install bitsandbytes# if not running on Colab ensure transformers is installed toofrom llama_index.embeddings.huggingface import HuggingFaceEmbeddingfrom...

In the mean time, large organizations often employ “business intelligence” (BI) tools to determine what the heck is occurring inside their operations. This has spawned many lumbering leviathans within the software world. Now, UK startup...

When LLMs give us outputs that reveal flaws in human society, can we decide to take heed to what they tell us?By now, I’m sure most of you've gotten heard the news about Google’s...

In accordance with Microsoft research, around 88% of the world's languages, spoken by 1.2 billion people, lack access to Large Language Models (LLMs). It is because most LLMs are English-centered, i.e., they're mostly built...

Get models like Phi-2, Mistral, and LLaVA running locally on a Raspberry Pi with OllamaTo wrap all of it upAt this point we're just about done with the goals of this text. To recap,...

Experimenting with Large Language Models at no cost (Part 2)In the primary a part of the story, we used a free Google Colab instance to run a Mistral-7B model and extract information using the...