Google and Amazon-backed Anthropic yesterday announced Claude 3, a new generation of artificial intelligence models. This family of models sets new standards in a variety of cognitive tasks. With Claude 3, Anthropic wants to compete with OpenAI's ChatGPT-4.
Here is an overview of Claude 3's main features:
three claudes 3 models
The Claude 3 model consists of three different versions: Haiku, Sonnet, and Opus. It aims to address enterprises' biggest concerns with generative AI: cost and performance.
claude 3 haiku
The company claims this is the fastest and most cost-effective model on the market for its intelligence sector. He can read a detailed research paper with images and tables in less than 3 seconds.
claude 3 sonnets
This model is twice as fast as Claude 2 and Claude 2.1 and can handle tasks that require quick responses, such as knowledge search and sales automation.
claude 3 opus
According to Anthropic, this model outperforms other models in the most common AI system evaluations. Achieving near-human levels of comprehension and fluency, paving the way to advanced general intelligence.
in technical paperAnthropic claims three Claude 3 models are the winner. OpenAI's GPT-3.5 Gemini 1.0 Pro for Knowledge, Reasoning, Mathematics, Problem Solving, and Coding. They can converse not only in English but also in various languages such as Japanese and French.
Below is a comparison of the three models with their peers on various feature benchmarks.
Advanced vision features
The Claude 3 model has advanced vision capabilities comparable to other leading models. It can handle various visual formats such as photos, graphs, and technical diagrams.
This feature is especially valuable for companies whose knowledge bases contain up to 50% of their information encoded in various formats, such as PDFs, org charts, and presentation slides.
We tested it and the results were very impressive.
The company also claims the fact that the response this model provides is more reliable than previous models.
Anthropic said in a press release:
“The Claude 3 family of models will initially offer a 200K context window at launch. However, all three models can accept inputs exceeding 1 million tokens, making them ideal for applications requiring increased processing power. We may offer this to our customers in the department.”
Usage and price
opus
Opus usage costs range from $15 to $75 per million tokens, depending on specific input/output requirements.
With a 200K context window, the potential uses for this technology are wide-ranging. It can be used to automate tasks, facilitating the planning and execution of complex actions across different APIs and databases, and interactive coding.
It can also be applied to research and development, enabling tasks such as research reviews, brainstorming, and hypothesis generation. drug discovery.
Additionally, it has proven beneficial for strategic initiatives as it enables advanced analysis of charts, graphs, financials, market trends, and forecasts.
sonnet
Claude 3 Sonnet is ideal for enterprise applications. With costs ranging from $3 to $15 per million tokens and a 200K context window, it provides a cost-effective solution without sacrificing performance.
Potential applications include data processing tasks such as RAGs and searching and retrieval across extensive knowledge bases.
This model has also proven useful for sales-related activities such as product recommendations, forecasting, and targeted marketing.
Claude 3 Sonnet is also useful for time-saving tasks such as code generation, quality control, and parsing text from images.
haiku
Claude 3 Haiku is designed to provide near-instantaneous responsiveness. Prices range from $0.25 to $1.25 per million tokens and are equipped with a 200K context window.
This model excels in a variety of applications, including customer interactions such as live chat and fast and accurate support with translations.
Additionally, it has proven useful in content management tasks to efficiently identify risky behavior and customer requests.
In addition, Claude 3 Haiku also contributes to cost reduction efforts such as logistics optimization, inventory management, and knowledge extraction from unstructured data.
Competition with OpenAI
Anthropic is another company aiming to compete with OpenAI. In France, MistralAI recently released a model called Mistral Large. This model is said to have almost the same effect. GPT-4.
