Claude 3.5 Sonnet 

Source– This post on Claude 3.5 Sonnet has been created based on the article “What is Claude 3.5 Sonnet and how is it better than GPT-4o, Gemini-1.5 Pro?” published in “Indian Express” on 21 June 2024.

Why in the news?’

Anthropic has introduced Claude 3.5 Sonnet which is its latest AI model. This is the first model in Anthropic’s upcoming Claude 3.5 AI series.

About Claude 3.5 Sonnet

1. Claude 3.5 Sonnet is a large language model (LLM) developed by Anthropic, part of a family of generative pre-trained transformers. It follows Claude 3 Sonnet.

2. These models are pre-trained to predict the next word in large text datasets.

3. Anthropic claims Claude 3.5 Sonnet outperforms Claude 3 Opus significantly. It is twice as fast as Claude 3 Sonnet.

Performance of Claude 3.5

i) Claude 3.5 Sonnet sets new records in several areas. It excels in coding tasks as measured by HumanEval, performs well in tests for graduate-level reasoning known as GPQA, and shows strong knowledge at the undergraduate level according to MMLU.

ii) It has improvements in understanding subtle details, humor, and complex instructions. It is particularly good at writing high-quality content that sounds natural and relatable.

iii) Claude 3.5 Sonnet has outperformed other models like GPT-4o, Gemini 1.5 Pro, and Meta’s Llama 3 400B in seven out of eight overall benchmarks.

What About Claude 3.5 Sonnet’s Vision Capabilities?

i) It is their best vision model so far. A vision model in AI can understand and analyze visual data, like images and videos.

ii) It shows noticeable improvements in tasks that need visual reasoning, such as decoding charts and graphs. It can also accurately read text from unclear or imperfect images.

iii) It quickly identified the location by reading a poster and text on a distant wall.

iv) Claude 3.5 Sonnet’s ability to transcribe text from images is very useful for retail, logistics, and financial services. In these fields, AI often needs to get information from images, graphics, or illustrations rather than just from text.

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