@jerryjliu0 highlights prompt engineering, which is integral to AI development and RAG systems, balancing setup simplicity with application utility in enterprises.
LLMS
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Multimodal AI Integration: Seamless Text, Image, Video, Audio Experience
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Multimodal AI like Gemini enhances user experiences by integrating text, image, video, and audio with low latency, suggesting a future of seamless data interaction.
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Self-Play Fine-Tuning Converts Weak Language Models Strong
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Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Chen et al.: https://
arxiv.org/abs/2401.01335 #Artificialintelligence #DeepLearning #MachineLearning -
RAG Webinar: Build Generative AI Workflows with Real-Time Data
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Join our upcoming webinar to learn how to use retrieval-augmented generation (#RAG) to build an end-to-end #generativeAI workflow using domain-specific, real-time data. Register now: https://
nvda.ws/46ZlLpe -
Hybrid AI and Foundation Models Shape 2024 Corporate Strategy
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Hybrid AI and apps will be in focus in 2024, says Goldman Sachs CIO Only the richest companies such as OpenAI can build “foundation models,” such as GPT-4, so the rest of the corporate world will need to build smaller, more-focused programs that tie into the foundation models.
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SOLAR-10.7B Model Enhanced with Direct Preference Optimization
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#solarllm SOLAR-10.7B + Direct Preference Optimization (DPO)
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Self-Extend LLM: Extending Context Window Without Fine-tuning
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#solarllm #16K Very interesting work, Self-Extend LLM! "The proposed method does not require any training. With only four lines of code modification, it can effortlessly extend existing LLMs’ context window without any fine-tuning. We conducted comprehensive experiments, and the
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Groq Offers Fastest LLM Inference Speed with Llama 2 70B
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A simple post while you are easing back in after the holiday break The fastest #LLM #Inference speed is available to try right now at http://
Groq.com running #Llama 2, 70B with 4k sequence length. No "tricks" for our speed, we're an LPU™ based system. Try it out. -
Tree of Thoughts Prompting Improves Generative AI Results
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Tree Of Thoughts Prompting For Better #GenerativeAI Results. Google DeepMind researchers published a new approach to prompting called Tree of Thoughts that outperforms other prompting methods https://
searchenginejournal.com/tree-of-though
ts-prompting-for-better-generative-ai-results/504797/?utm_source=twitter&utm_medium=social&utm_campaign=share-back-traffic
… via @martinibuster
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Code Empowers Large Language Models as Intelligent Agents
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If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents Yang et al.: https://
arxiv.org/abs/2401.00812 #ArtificialIntelligence #DeepLearning #MachineLearning