Check out this amazing opportunity to participate in the Nvidia and LlamaIndex Developer Contest where they encourage you to build retrieval-augmented generation (RAG), agentic, or beyond-agentic RAG applications in any domain.
Regissterlation link: https://
developer.nvidia.com/llamaindex-dev
eloper-contest?ncid=ref-inor-494422
…
GENERATIVE AI
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Nvidia LlamaIndex Developer Contest RAG Applications Opportunity
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OpenAI GPT-Next, Nvidia antitrust, AI agents civilization
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Top stories in AI today: -OpenAI Japan reveals ‘GPT-Next’ details
-Nvidia hit with antitrust subpoena
-How to run Phi-3.5 on your phone
-Autonomous AI agents form civilizations
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/openai-gpt-n
ext-2024-release
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AI Art Will Surpass Human Creativity Across All Metrics
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AI art will soon outpace human art – both in quality and, originality, scope… whatever metric we choose.
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Websites Now Serve Information to Large Language Models
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Today websites are not just used to provide information to people, but they are also used to provide information to large language models. For instance, language models are often used to enhance development environments used by coders.
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AI People Game Launches September 19 with LLM NPCs
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We are developing AI People, a game with LLM driven NPCs that observe and can interact with the environment and each other Alpha will come on September 19 @aipeoplegame
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SubgoalXL: Advanced AI Reasoning and Proof Formalization Framework
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Check out our work: GitHub: https://
github.com/zhaoxlpku/Subg
oalXL
… Datasets & Models: https://
huggingface.co/collections/xl
-zhao/subgoalxl-66c84b77e0eaf131c0cdac15
… Paper: https://
arxiv.org/abs/2408.11172
Join us in pushing the boundaries of AI reasoning! #AI #LLM #SubgoalXL #AIResearch #ProofFormalization #MachineAssistedProofs -
SubgoalXL Enhances Multi-Step Reasoning in Large Language Models
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Key strengths of SubgoalXL: • Subgoal-based decomposition for improved reasoning
• Iterative refinement through expert learning
• Efficient use of limited formal and informal data
Result: Enhanced multi-step reasoning in LLMs! -
DFIntelligence: Struggle with complex files, but better than Claude alone
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Edit: after 4h of use, it's a struggle to use for quite complex tasks across multiple files, and it quickly forgets important contexts. BUT it's still better than just Claude in chat. (I find myself having to copy-paste files onto
