Best Large Language Models & Frameworks of 2023
Blog post from AssemblyAI
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 48 | 2,414 | 305 | 109 | -22% |
| Real-time | 2 | 2,396 | 582 | 180 | -6% |
| Reinforcement learning | 1 | 55 | 29 | 10 | -76% |
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