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.
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INSIGHT

Scaling and Context in LLMs

  • The scale of LLMs keeps increasing, with models like GPT-4 being multimodal and larger than predecessors.
  • Longer context windows improve use cases but don't fully replace targeted retrieval approaches like RAG.
ADVICE

Use Small Models with RAG

  • Use smaller open-source language models with RAG to handle proprietary data securely and cost-effectively.
  • Deploy these models on private clouds or edge devices for better privacy control.
ANECDOTE

Multimodal Models Help with OCR

  • Internal use of GPT-4's multimodal feature was less effective for image generation.
  • OCR capabilities in multimodal models provided significant value for developers handling screenshots and stack traces.
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