In 2024, the field of artificial intelligence has undergone earth-shaking changes, and large model technology has made breakthrough progress. Many technology giants have launched blockbuster products one after another, breaking the original market structure, and their performance and price have been significantly improved. This year, competition on the AI track has been fierce, with numerous models emerging one after another, providing users with more choices and promoting the rapid development of technology and applications. This article will delve into the major breakthroughs in the field of large models in 2024 and the impact of these breakthroughs on the future development of artificial intelligence.
In the turbulent year of 2024 in the field of artificial intelligence, there has been a revolutionary breakthrough in large model technology. With the emergence of OpenAI's Sora and the launch of blockbuster products by many technology giants, it not only broke the market monopoly of GPT-4, but also brought about double breakthroughs in performance and price.
This year, competition on the AI track has been extremely fierce. 18 companies have intensively released more than 70 models, many of which have surpassed the performance of GPT-4. Google Gemini 1.5 Pro has created a new era of multi-modal interaction with its breakthrough long text processing capabilities and video understanding capabilities. At the same time, products such as the Claude3 series and Meta's Llama3.3 have also been favored by users for their excellent performance. In particular, the Claude3.5Sonnet has shown amazing strength in multiple evaluations.
The lowering of technical barriers is another important breakthrough this year. GPT-4 level models that used to require huge computing power have now achieved a major breakthrough in running on ordinary laptops. Taking Qwen2.5-Coder-32B as an example, its smooth operation on the M2MacBook Pro brings unprecedented convenience to developers and ordinary users.
On the pricing front, increased competition in the market has driven significant declines in service costs. Google Gemini 1.5 Flash’s pricing strategy of only US$0.075 per million tokens not only reflects the fierce competition in the market, but also benefits from the significant improvement in model energy efficiency. At the same time, the energy consumption of a single call is greatly reduced, providing efficient services while also reducing the environmental burden.
The development of large models in 2024 will present dual breakthroughs in performance improvement and cost reduction, which not only expands the application boundaries, but also allows ordinary users to have low-threshold access to top AI technology. This series of progress indicates that AI technology is entering a new era that is more open and inclusive.
The development of large model technology in 2024 indicates that AI technology will become more popular and benefit a wider range of user groups. In the future, with the continuous advancement of technology and the continuous reduction of costs, AI will be integrated into all aspects of life, bringing more convenience and innovation to human society.