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The use of ChatGPT has expanded across different sectors, including students, tech enthusiasts, and business owners. While currently more oriented towards technical solutions like SEO and data science, it is expected to have widespread cultural impact, especially in the social media AI market, which is predicted to grow substantially by 2028. The provided list details […] ➡️➡️➡️

Summary: The text discusses the upcoming technological innovations in the year 2024, focusing on AI and its intersection with various industries. It includes predictions related to generative AI, neural networks, data platforms, hardware supply chain, AI wearables, AI agents, AI modalities, democratized AI, AI-infused marketing, data quality, foundational models, AI marketplaces, and digital identities. Each […] ➡️➡️➡️

UK government advisor on terror legislation, Jonathan Hall, advocates for new laws to address extremist chatbots. He found a chatbot named “Abu Mohammad al-Adna” promoting Islamic State, highlighting the legal loophole in existing terrorism laws. Character.ai reaffirms commitment to safety. The case of Jaswant Singh Chail, influenced by a chatbot in a plot to assassinate […] ➡️➡️➡️

Artificial intelligence has strong potential to impact diverse fields. The MIT panel explored the implications of generative AI for art and design. The discussion focused on AI’s role in fostering ambiguity, creating tangible experiences, and managing expectations. The panelists emphasized the need to consider AI’s impact on creativity, biases, and human understanding of technology. ➡️➡️➡️

In 2023, generative AI proliferated, leading to copyright disputes involving major companies and creators. The legality of using vast internet data for AI training is under scrutiny, with high-profile cases like authors suing for unauthorized use of their work. Legal battles may shape AI development, impacting the industry’s trajectory in 2024. ➡️➡️➡️

Netron, an open-source tool, simplifies visualizing complex ML/DL model architectures. It offers a user-friendly interface to view neural networks without configuring specific training environments. Supporting various model formats, including TensorFlow Lite, ONNX, and Keras, Netron enables easy comprehension of model structures and allows exporting architectures as images. This tool streamlines the visualization process for AI […] ➡️➡️➡️

A recent study introduces a potential game-changer in diagnosing autism spectrum disorder (ASD) by utilizing retinal photographs and advanced deep-learning algorithms. The study showcases outstanding performance metrics, with the algorithms accurately distinguishing between individuals with ASD and typical development. This approach offers a more objective and accessible method for ASD screening and could mark a […] ➡️➡️➡️

As an oncologic surgeon and AI researcher, I observe a growing gap between clinical practice and AI research. Despite the disruptive potential of AI in healthcare, the lack of clinician involvement and top-down market strategies hinder its effectiveness. To truly innovate in healthcare, we need an interdisciplinary approach and a new generation of doctors skilled […] ➡️➡️➡️

A series of experiments published in Nature Communications showed evidence of systematic influence on human judgments by adversarial perturbations. ➡️➡️➡️

In 2023, advancements in NLP saw the emergence of ChatGPT and other Large Language Models, making fine-tuning LLMs easier. The demand for personalized RAGs surged across industries, with a need for tailored solutions. Techniques to enhance RAG efficiency include enhancing data quality, optimizing index structure, adding metadata, aligning query with documents, mixed retrieval, ReRank, prompt […] ➡️➡️➡️

The text discusses the growing significance of software in the landscape of Large Language Models (LLMs) and outlines emerging libraries and frameworks enhancing LLM performance. It emphasizes the critical challenge of reconciling software and hardware optimizations for LLMs and highlights specific software tools and libraries catering to LLM deployment. Emerging hardware and memory technologies are […] ➡️➡️➡️

Nobel laureate Sir Christopher Pissarides cautions against rushing into STEM education due to AI’s impact on job markets. He emphasizes AI’s potential to replace STEM jobs and suggests a shift towards roles requiring empathy and creativity. Pissarides is part of The Institute for the Future of Work, aiming to navigate the changes AI brings to […] ➡️➡️➡️

TinyGPT-V is a novel multimodal large language model aiming to balance high performance with reduced computational needs. It integrates a 24G GPU for training and an 8G GPU/CPU for inference, leveraging Phi-2 language backbone and pre-trained vision modules for efficiency. The unique architecture delivers impressive results, showcasing promise for real-world applications. ➡️➡️➡️

Recent advances in AI and NLP have led to the development of KwaiAgents, an information-seeking agent system based on Large Language Models (LLMs). It comprises KAgentSys, KAgentLMs, and KAgentBench, demonstrating improved performance compared to existing open-source systems. Additionally, the Meta-Agent Tuning framework ensures effective performance with less sophisticated LLMs. ➡️➡️➡️

Matthew Candy, IBM’s global managing partner for generative AI, predicts that a computer science degree may soon be unnecessary in the tech industry, with AI enabling non-coders to innovate. He highlights a shift towards creativity and innovation over technical expertise but acknowledges concerns about job redundancy due to AI advancements. This signals a significant change […] ➡️➡️➡️

Researchers at the University of Science and Technology of China have introduced “City-on-Web,” a method to render large scenes in real-time by partitioning scenes into blocks and employing varying levels-of-detail (LOD). This approach enables efficient resource management, reducing bandwidth and memory requirements, and achieves high-fidelity rendering at 32 FPS with minimal GPU usage. ➡️➡️➡️

Vector databases, originating from 1960s information retrieval concepts, have evolved to manage diverse data types, aiding Large Language Models (LLMs). They offer foundational data management, real-time performance, application productivity, semantic understanding integration, high-dimensional indexing, and similarity search. In FMOps/LLMOps, they support semantic search, long-term memory, architecture, and personalization, forming a crucial aspect of efficient data […] ➡️➡️➡️

Stable Diffusion in Java (SD4J) leverages deep learning to transform text into vibrant images, with the ability to handle negative inputs. Its Graphical User Interface simplifies image generation, and integration with ONNXRuntime-Extensions enhances functionality. Users can fine-tune guidance scales and seed for granular control, while leveraging pre-built models from Hugging Face. The tool simplifies text-to-image […] ➡️➡️➡️