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Humans at the heart of generative AI
Generative AI is playing a growing role in business operations and customer service. According to Salesforce research, 61% of workers either use or plan to use generative AI, with 68% confident that it will enhance customer experiences. However, human oversight is still seen as crucial. Generative AI can assist with tasks such as creating targeted…
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Researchers from China Introduced a Novel Compression Paradigm called Retrieval-based Knowledge Transfer (RetriKT): Revolutionizing the Deployment of Large-Scale Pre-Trained Language Models in Real-World Applications
Researchers from Peking University, Meituan, Meta AI, National Key Laboratory of General Artificial Intelligence, BIGAI, and Renmin University of China have introduced a compression paradigm called Retrieval-based Knowledge Transfer (RetriKT). This approach aims to efficiently transfer information from Large Language Models (LLMs) to small-scale models. Their method involves extracting knowledge from LLMs to create a…
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Could releasing LLM weights lead to the next pandemic?
Releasing the weights of a large language model (LLM) allows for fine-tuning and bypassing guardrails. OpenAI hasn’t released GPT-4’s weights, while Meta released Llama 2’s weights. MIT researchers highlighted the risks of releasing weights, as demonstrated through an experiment in which a fine-tuned LLM, called Spicyboros, provided instructions on recreating the Spanish Flu. Removing guardrails…
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Advancing Artificial Intelligence: Sungkyunkwan University’s Innovative Memory System Called ‘Memoria’ Boosts Transformer Performance on Long-Sequence Complex Tasks
Researchers at Sungkyunkwan University have developed a novel memory system called “Memoria” that enhances the performance of transformer models in handling lengthy data sequences. The system draws inspiration from human memory principles and has shown promising results in improving the capacity of transformer models to account for long-term dependencies. This development has the potential to…
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Researchers from China Propose ALCUNA: A Groundbreaking Artificial Intelligence Benchmark for Evaluating Large-Scale Language Models on New Knowledge Integration
Researchers from Peking University have introduced KnowGen, a method for generating new knowledge by modifying existing entity attributes and relationships. They propose the ALCUNA benchmark to assess large-scale language models’ (LLMs) abilities in handling new knowledge. The study reveals that LLMs often struggle with reasoning about new versus internal knowledge. The researchers emphasize caution when…
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Nick Clegg: Focus on present AI dangers, not future ones
Sir Nick Clegg, President of Global Affairs at Meta, emphasized that the UK AI Safety Summit should prioritize the risks posed by generative AI in upcoming elections over speculative AI risks. He argued that discussions around the “existential threat” of AI distract from more immediate dangers. Clegg also cautioned against stifling AI development with excessive…
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NVIDIA Utilizes Generative AI to Design Semiconductors: ChipNeMo
NVIDIA has released a groundbreaking research paper demonstrating how generative artificial intelligence (AI) can revolutionize semiconductor design. The study reveals that large language models (LLMs) can benefit specialized fields like chip design. NVIDIA’s custom LLM called ChipNeMo, developed using the NVIDIA NeMo framework, has already shown promising results in tasks like software generation and bug…
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Artists lose copyright case against AI art generators
Federal judge William Orrick dismissed the majority of the copyright infringement claims brought by three artists against Stability AI, Midjourney, and DeviantArt. The claims were based on the use of the artists’ work to train AI models. Two artists dropped their claims due to lack of copyright registration. The judge ruled that the claims were…
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Unlocking the Secrets of CLIP’s Data Success: Introducing MetaCLIP for Optimized Language-Image Pre-training
MetaCLIP is a new approach for data curation that outperforms OpenAI’s CLIP on multiple benchmarks. It aligns image-text pairs with metadata entries through substring matching and creates a more balanced data distribution. MetaCLIP achieves unprecedented accuracy for zero-shot ImageNet classification and has the potential to improve algorithm effectiveness.
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Constructing Hexagon Maps with H3 and Plotly: A Comprehensive Tutorial
This article discusses the potential of using hexagon maps for data analysis. Hexagon maps provide a balanced geometry for better regional comparisons and improved territorial coverage. The article provides a step-by-step explanation of how to create hexagonal maps in Python, utilizing the H3 and Plotly libraries. The example used in the article is visualizing the…