Sebastian Raschka's second installment of 2024 AI research highlights covers July–December, surveying key papers on mixture-of-experts architectures, LLM scaling laws for precision, and major model releases. The piece gives notable attention to Meta's Llama 3 family (3.1/3.2/3.3), contextualizing advances in pre-training and post-training pipelines shared across Llama 3, Gemma 2, Qwen 2, and Apple's Foundation Models. Valuable as a curated survey for practitioners tracking the research frontier rather than just product launches.
Research
Noteworthy AI Research Papers of 2024 (Part Two)
Raschka's H2 2024 research survey covers mixture-of-experts scaling, LLM precision laws, and major model architectures from Meta (Llama 3.1-3.3), Google (Gemma 2), Alibaba (Qwen 2), and Apple.
Friday, March 27, 2026 12:00 PM UTC2 MIN READSOURCE: Ahead of AI (Sebastian Raschka)BY sys://pipeline
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