The podcast discusses AI predictions for 2024, including the increasing adoption of AI by big tech companies, the improved productivity with VS Code and AI tools, the fear and policy surrounding AI in 2024, collaboration opportunities, shifting economics, and software engineering in AI, and the evolving nature of AI and software skills.
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Quick takeaways
Retrieval-aided generation (RAG) will continue to improve in 2024, combining retrieval and generative models for better content quality.
Open models are expected to surpass GPT-4 in 2024, offering better performance in certain tasks and domains.
AI will enhance workplace productivity rather than replacing jobs, with AI tools and models assisting workers to improve efficiency and productivity.
Deep dives
2024 Predictions: Focus on Rag and improvements
One of the main predictions for 2024 is that there will be a continued focus on retrieval-aided generation (Rag) and various improvements in this area. This approach combines retrieval models with generative models to enhance the quality of generated content.
Open Models vs. GPT-4: A competition to watch
Another prediction is that open models will surpass GPT-4 in 2024. While GPT-4 is currently the leading model, open models are expected to catch up and even outperform it in certain tasks and domains.
AI enhances productivity without replacing jobs
The consensus among many predictions is that AI will enhance productivity in the workplace rather than replacing jobs. AI tools and models are expected to assist workers and improve efficiency, leading to greater productivity.
Focus on multi-modal models
In 2024, there will be an increased focus on multi-modal models. These models can process and generate content across different modalities, such as text, images, and audio, opening up new possibilities and applications.
Shift towards cost-efficient small language models
A key trend in 2024 is the shift towards cost-efficient small language models. Rather than relying solely on large language models, there will be a greater emphasis on developing smaller models that are more economical and computationally efficient.
We scoured the internet to find all the AI related predictions for 2024 (at least from people that might know what they are talking about), and, in this episode, we talk about some of the common themes. We also take a moment to look back at 2023 commenting with some distance on a crazy AI year.
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