BLOOM
In 2022, Flourish developed BLOOM, an autoregressive Large Language Model (LLM) that generates text by extending a prompt using large amounts of textual data. Over 70 countries’ experts and volunteers developed the project in one year. The open-source LLM BLOOM model includes 176 billion parameters. It writes fluently and cohesively in 46 languages and 13 programming languages. BLOOM execution, evaluation, and improvement with training data and source code are public. Hugging Face users use BLOOM free.
Features:
- Efficiency: Developed by Google Research, BLOOM emphasizes efficiency and scalability, making it suitable for large-scale NLP applications.
- Advanced Algorithms: BLOOM leverages cutting-edge algorithms to achieve remarkable performance in tasks such as text summarization and language translation.
- Community Support: With support from the open-source community, BLOOM continues to evolve, driving innovation in the field of NLP.
Top 10 Open-Source LLM Models – Large Language Models
Large language models, or LLMs, are essential to the present revolution in generative AI. Language models and interpreters are artificial intelligence (AI) systems that are based on transformers, a potent neural architecture. They are referred to as “large” because they contain hundreds of millions, if not billions, of pre-trained parameters derived from a vast corpus of text data.
In this article, we’ll look at the Top 10 open-source LLMs that will be available in 2024. Even though ChatGPT and (proprietary) LLMs have only been around for a year, the open-source community has made significant progress, and there are now numerous open-source LLMs available for various applications. Read on to discover the most popular!
Top 10 Open-Source LLM Models
- 1. LLaMA 2
- 2. BLOOM
- 3. BERT (Bidirectional Encoder Representations from Transformers)
- 4. Falcon 180B
- 5. OPT-175B
- 6. XGen-7B
- 7. GPT-NeoX and GPT-NeoX
- 8. Vicuna 13-B
- 9. YI 34B
- 10. Mixtral 8x7B
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