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 | 2,492 | 306 | 110 | -20% |
| Real-time | 2 | 2,577 | 597 | 183 | -5% |
| Reinforcement learning | 1 | 60 | 30 | 11 | -74% |
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