Home / Companies / AssemblyAI / Blog / Post Details
Content Deep Dive

Best Large Language Models & Frameworks of 2023

Blog post from AssemblyAI

Post Details
Company
Date Published
Author
Jesse Sumrak
Word Count
1,530
Company Posts That Month
16
Language
English
Hacker News Points
-
Post removed?
No
Summary

LLMs (Large Language Models) are artificial intelligence systems that use deep learning techniques to generate human-like text, understand and interpret natural language inputs, and perform a variety of complex tasks such as machine translation, summarization, question answering, etc. They are pre-trained on large datasets and can be fine-tuned for specific tasks or domains. The most commonly used LLMs include GPT-4 by OpenAI, BERT by Google, Bloom by BigScience, Llama by Meta, among others. When choosing the best LLM for a particular use case, consider factors like primary task, model size, pre-training level, accuracy, integrations, scalability and cost.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 48 2,134 271 94 -26%
Real-time 2 2,216 526 161 -9%
Reinforcement learning 1 No monthly metrics for this publish month.
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.