As we bid farewell to 2024, the AI area displays a 12 months of transformative developments reshaping industries, workflows, and human-technology interplay. Andrew Ng, one of many key figures of the AI neighborhood, encapsulates the essence of this 12 months with key takeaways and reflections. Let’s take a look on the 2024 AI Roundup by Andrew Ng.
Brokers Ascendant: The Development of Agentic Workflows
One of the vital tendencies of 2024 has been the rise of AI brokers and agentic workflows. These autonomous techniques, able to performing complicated duties with minimal human intervention, have change into integral to industries starting from healthcare to finance. Frameworks like Qwen-Agent, AutoChain, and TaskGPT have demonstrated the potential of AI brokers to streamline operations, improve productiveness, and allow extra environment friendly decision-making.
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Costs Tumble: Quickly Falling LLM Token Costs
The price of utilizing massive language fashions (LLMs) has seen a dramatic decline in 2024, making AI extra accessible than ever earlier than. Falling LLM token costs have been pushed by developments in mannequin effectivity, elevated competitors amongst AI suppliers, and economies of scale. For instance, DeepSeek V3’s token pricing has been notaby decrease than different fashions with related capablities, enabling startups and researchers to experiment with superior AI at a fraction of conventional prices.
Generative Video Takes Off
Generative AI has expanded past textual content and pictures to revolutionize the video manufacturing business. In 2024, generative video fashions like OpenAI’s Sora, Google’s Veo 2, and AWS Nova Reel have taken middle stage, enabling creators to provide high-quality video content material with minimal effort. These fashions can generate life like scenes, edit footage, and even create totally artificial movies based mostly on textual prompts.
Smaller is Stunning: Small Language Fashions
Whereas massive language fashions (LLMs) have dominated the AI panorama in recent times, 2024 has seen a rising emphasis on small language fashions (SLMs). Compact and environment friendly, these fashions cater to resource-constrained environments like edge computing and on-device functions. Launches equivalent to Phi 4, Llama 3.2 3B, and Qwen 2.5 reveal developments in efficiency and scalability, empowering specialised domains like healthcare and authorized tech. SLMs spotlight a shift towards pragmatic AI, mixing practicality with innovation.
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Options to Acquisitions
In 2024, the AI business has witnessed a shift in how firms strategy progress and innovation. Somewhat than relying solely on acquisitions, organizations are more and more exploring various methods, equivalent to partnerships, open-source collaborations, and ecosystem growth. This development displays a recognition of the worth of community-driven innovation and the necessity to foster a extra collaborative AI panorama.
For instance, Meta’s Llama 3.2 was built-in into Snapdragon platforms by means of a partnership with Qualcomm, enabling superior on-device AI experiences.
Microsoft deepened its ties with Hugging Face, specializing in integrating open-source fashions seamlessly into cloud platforms.
Google’s strategic partnership with Hugging Face enabled coaching and deploying fashions on platforms like Vertex AI and Google Kubernetes Engine.
Finish Observe
As we look forward to 2025, these tendencies are more likely to proceed shaping the AI panorama, driving new alternatives and challenges. The continued evolution of AI guarantees to rework industries, improve human capabilities, and unlock unprecedented potentialities for innovation. By staying attuned to those developments, you possibly can place your self to thrive within the AI-driven future. What are your ideas on these tendencies? Share your insights within the feedback under!
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