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Meta Llama 4 Accused of "Cheating": Aces Arena Tests but Fumbles in Real-World Use
Meta Llama 4 AI controversy: Top benchmark scores but real-world coding struggles. Is it benchmark-optimized?
Apr 7
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Meng Li
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Meta Llama 4 Accused of "Cheating": Aces Arena Tests but Fumbles in Real-World Use
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Meta Opens Llama 4! First MoE Model, 10M Context, Beats DeepSeek
Meta Llama 4 Released! Open-source MoE AI with 10M Context, Beats DeepSeek & GPT-4o
Apr 6
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Meng Li
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Meta Opens Llama 4! First MoE Model, 10M Context, Beats DeepSeek
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Model Tuning Without Labeled Data! Directly Elevating Llama 3.3 70B to GPT-4o Level
Boost LLMs like Llama 3.3 70B to GPT-4o level with Databricks' TAO—no labeled data needed! Unlock enterprise AI tuning at lower costs.
Mar 30
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Meng Li
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Model Tuning Without Labeled Data! Directly Elevating Llama 3.3 70B to GPT-4o Level
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Llama Boosts Multimodal Performance by 30% with Diffusion's Attention Distribution
Boost Llama-3.2's multimodal performance by 30% with Stable Diffusion’s attention distribution. Achieve high accuracy with minimal data and training…
Feb 17
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Meng Li
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Llama Boosts Multimodal Performance by 30% with Diffusion's Attention Distribution
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How to Enhance the Accuracy of the Llama Q&A System Using RAG?(LLaMA 3 Practical 12)
Learn how to optimize the RAG system's performance, ensuring accurate, timely content generation with real-time data, user feedback, and source…
Feb 11
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Meng Li
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How to Enhance the Accuracy of the Llama Q&A System Using RAG?(LLaMA 3 Practical 12)
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Meta VideoJAM: Motion Generation Surpassing Sora and Gen3
VideoJAM enhances motion effects beyond Sora and Gen3 by integrating Joint Appearance-Motion Representation and Inner-Guidance Mechanism, ensuring…
Feb 10
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Meng Li
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Meta VideoJAM: Motion Generation Surpassing Sora and Gen3
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How to Leverage LLaMA 3 for Index Building?(LLaMA 3 Practical 11)
Explore how LLaMA 3 enhances RAG models, improving data quality and optimizing retrieval with structured knowledge graphs for better generation results.
Feb 3
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Meng Li
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How to Leverage LLaMA 3 for Index Building?(LLaMA 3 Practical 11)
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RAG-Enhanced Panorama of LLaMA 3(LLaMA 3 Practical 10)
Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how LLaMA 3 enhances document segmentation, embedding, retrieval, and content…
Feb 1
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Meng Li
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RAG-Enhanced Panorama of LLaMA 3(LLaMA 3 Practical 10)
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How to Use LLaMA 3 for Multi-Turn Reasoning with Feedback Enhancement?(LLaMA 3 Practical 9)
Learn how feedback enhancement boosts LLaMA 3's multi-step reasoning. Discover techniques to improve agent performance, from reasoning loops to ReAct…
Jan 29
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Meng Li
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How to Use LLaMA 3 for Multi-Turn Reasoning with Feedback Enhancement?(LLaMA 3 Practical 9)
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How to Use LLaMA 3 for Search Enhancement in Multi-Round Reasoning?(LLaMA 3 Practical 8)
Learn how the Tree of Thought (ToT) improves multi-path reasoning, enhancing problem-solving by systematically exploring various possibilities in tasks…
Jan 28
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Meng Li
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How to Use LLaMA 3 for Search Enhancement in Multi-Round Reasoning?(LLaMA 3 Practical 8)
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How to Use LLaMA 3's Chain of Thought to Achieve Frequency Enhancement?(LLaMA 3 Practical 7)
Explore the limitations of LLaMA 3 in multi-round reasoning and how Self-Consistency improves reasoning accuracy. Learn effective strategies for complex…
Jan 26
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Meng Li
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How to Use LLaMA 3's Chain of Thought to Achieve Frequency Enhancement?(LLaMA 3 Practical 7)
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LLaMA 3 Multi-Round Inference: Dialogue & Task Automation(LLaMA 3 Practical 6)
Explore LLaMA 3's capabilities in multi-turn dialogue systems and automated task workflows, including efficient dialogue state management and task flow…
Jan 24
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Meng Li
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LLaMA 3 Multi-Round Inference: Dialogue & Task Automation(LLaMA 3 Practical 6)
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