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The InfoQ Podcast
AI, ML, and Data Engineering Trends in 2024
Aug 14, 2024
The panel dives into the hottest advancements in AI and machine learning, from large language models to small language models tailored for enterprises. Conversations highlight the critical need for privacy and security in AI solutions, addressing generative AI's implications. Experts discuss managing large models effectively and the exciting blend of AI with blockchain. Predictions for the next year reveal a focus on practical applications and innovation, while visions for recovery from the AI winter inspire hope for a vibrant tech landscape ahead.
53:36
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Quick takeaways
- The rapid advancement in AI and ML is driven by upgrades in generative AI frameworks like ChatGPT, enhancing modal functionalities.
- Longer context lengths in models, such as Google's one-plus million context window, facilitate information retrieval but raise precision concerns.
Deep dives
The Accelerating Pace of AI Development
The rapid advancement in artificial intelligence (AI) and machine learning (ML) technologies has been largely attributed to the rollout of ChatGPT and similar models. Over the past year, major technology companies, including Google and OpenAI, have introduced significant upgrades to their generative AI frameworks, focusing on large language models (LLMs) capable of multimodal functionalities, including audio and visual processing. For instance, Google’s Gemini and OpenAI’s GPT-4 have both aimed to redefine how AI interacts with various forms of data, enhancing their computational capabilities and user experience. This surge in development is also characterized by a shift towards more open-source models that encourage community involvement and innovation.
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