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Gpt 35 Turbo

All articles tagged with #gpt 35 turbo

technology2 years ago•9 min saved

Google's Gemini Falls Short of GPT-3.5 Turbo, Researchers Discover

Researchers from Carnegie Mellon University and BerriAI have found that Google's new language model, Gemini Pro, performs worse than OpenAI's GPT-3.5 Turbo in most tasks. The study compared Gemini Pro to several other models, including GPT-4 Turbo and Mixtral 8x7B. While Gemini Pro outperformed Mixtral, it fell behind GPT-3.5 Turbo and GPT-4 Turbo. Google claims that Gemini Pro performs better than GPT-3.5, and an even more powerful version, Gemini Ultra, is set to be released in early 2024. However, the study suggests that OpenAI is still the leader in generative AI for now.

via VentureBeat|

#ai #gemini #google

technology3 years ago•3 min saved

"Meta's Llama AI Models: From Quiet Release to Closed Source?"

Meta Platforms has quietly introduced Llama 2 Long, an AI model that outperforms OpenAI's GPT-3.5 Turbo and Anthropic's Claude 2 on tasks involving long user prompts. Llama 2 Long is an extension of Meta's open-source Llama 2 model, with longer training sequences and an increased dataset of long texts. The model's improved performance showcases the potential of open-source AI in competing with closed-source models offered by well-funded startups.

via VentureBeat|

#ai #claude-2 #gpt-35-turbo

technology3 years ago•4 min saved

OpenAI and Scale AI Collaborate to Enhance GPT-3.5 Turbo Fine-tuning

OpenAI has announced the ability to fine-tune GPT-3.5 Turbo, the AI model behind ChatGPT, using custom data through its API. This allows developers to train the model with their own documents, such as company files or project documentation. OpenAI claims that a fine-tuned model can achieve performance similar to GPT-4 at a lower cost. Fine-tuning provides improved steerability, reliable output formatting, and custom tone. While there are costs associated with using custom data, OpenAI assures data privacy and moderation. Fine-tuning for GPT-4 is also expected to be available later this year.

via Ars Technica|

#ai #customization #fine-tuning