In today’s digital age, businesses have a unique opportunity to create more competitive value propositions by using Artificial Intelligence (AI) Agents. It is estimated that by 2030, 30% of all business transactions will be handled by these buying and selling agents, underlining the growing importance of AI in the commercial and technological sphere.
Across all industries, AI is growing rapidly . According to a 2024 Stanford University report, 149 AI models were launched in 2023, more than double the number in 2022, and investment in generative AI reached $25.2 billion, almost eight times more than the previous year. Leading companies like OpenAI and Anthropic have led the way.
Specifically, in science and medicine, the GPT-4 Medprompt model achieved 90.2% accuracy on the MedQA benchmark, an increase of 22.6 percentage points from the previous year. Additionally, the FDA approved 139 AI-related medical devices in 2022, an increase of 12.1% from 2021.
In education, in 2022, 70.7% of new AI PhDs chose to work in industry rather than academia.
In politics and governance, 25 AI-related regulations were passed in the US last year, a significant increase from just one in 2016. In addition, mentions of AI in legislative proceedings have doubled globally.
These advances are intrinsically linked to the quality of data used by AI models, as better data leads to better capabilities. However, this also brings with it certain risks and challenges. For example, AI models may generate outputs containing copyrighted material, raising crucial legal questions. Furthermore, significant biases persist in models such as ChatGPT , underscoring the need for transparency and regulation in AI development.
However, despite the progress across all sectors, only half of the 63% of people who have heard of ChatGPT use it weekly. Furthermore, it is noteworthy that 52% of Americans are more worried than excited about AI.
Generative artificial intelligence has grown exponentially in recent years, but one of the challenges it continues to face is offering accurate and natural responses.
To address these challenges, Anthropic has launched Claude 3.5 Sonnet , an innovative model that promises to outperform its predecessors and the competition, including GPT-4, by offering an unbeatable combination of speed, economy and intelligence. In addition, the solution is available in a free version for all users through its website and iOS app, democratising access to this powerful tool.
What does Claude 3.5 Sonnet offer?
Claude 3.5 Sonnet presents itself as the new standard for programmers and companies that require fast and accurate responses and offers specific features that make it a unique solution.
1.- Greater ability to interpret graphics and transcribe texts
Among its notable features is the ability to interpret graphics and transcribe text from images, a functionality that revolutionizes the field of artificial intelligence and is especially important in retail, logistics and financial services, where AI can obtain more information from an image, graph or illustration than from text alone.
2.- Higher speed
It also sets new standards in Graduate-Level Advanced Reasoning (GPQA), College-Level Knowledge (MMLU), and Coding Proficiency (HumanEval), showing improvements in understanding nuance, humor, and complex instructions. It runs twice as fast as its predecessor, Claude 3 Opus, and is ideal for complex tasks like customer support and multi-phase workflows due to its increased performance and cost efficiency. In internal evaluations, Claude 3.5 Sonnet solved 64% of coding problems, outperforming Claude 3 Opus. This model can write, edit, and execute code autonomously, handling translations and code updates very effectively, making it especially useful for application modernization and codebase migration.