On Emergent Abilities of Large Language Models
An ability is emergent if it is not present in smaller models but is present in larger models. [1] Scaling up language models has been shown to improve predicta...
Tag: llm
Text Clustering and Topic Modeling using Large Language Models (LLMs)
1. Introduction Text clustering is an unsupervised approach that helps in discovering patterns in data. Grouping similar texts according to their semantic conte...
Text Classification using Large Language Models (LLMs)
1. Introduction A common task in natural language processing (NLP) is text classification. Use cases of text classification include sentiment analysis, intent d...
Large Language Models (LLMs) Inference and Serving
You might have encountered some performance issues while executing LLM (Large Language Model) models for the production environment. You may consider using an i...
Fact-checking in LLM
Summary of fact-checking in LLM #llm #hallucinations #misinformation
Hands-on Tutorial on Making an Audio Bot using LLM, and RAG
1. Learning Outcome 2. Large Language Model Large Language Model (LLM) is an artificial intelligence (AI) model with billions of parameters, trained on huge amo...
Making a talking bot using Llama3.2:1b running on Raspberry Pi 4 Model-B 4GB
Introduction In this article, I describe my experiment on making a talking bot using a Large Language Model Llama3.2:1b and running it successfully on the Raspb...
Install, run, and access Llama using Ollama
Learning Outcome In this post, we will learn about: 1. What is Ollama? Ollama is an open-source tool/framework that facilitates users in running large language ...