Simply AI

Google’s Gemini 1.5 Pro Revolutionizes AI, Meta’s Nick Clegg on AI in Democracy

Google's next-generation AI model Gemini 1.5 Pro is now available in public preview on Google Cloud's Vertex AI Platform, offering developers unprecedented capabilities. Meta's Nick Clegg plays down AI's threat to global democracy and emphasizes its role in defending democracy. Symbolica raises $31 million to develop AI systems to compete with OpenAI, challenging the dominance of transformer architectures. Meta discusses buying publisher Simon & Schuster to train AI, raising ethical questions. Stay informed about the latest advancements and debates in AI technology with 'Simply A.I.'Sources:https://www.marktechpost.com/2024/04/09/googles-next-generation-ai-model-gemini-1-5-pro-is-now-available-in-public-preview-on-google-clouds-vertex-ai-platform/https://www.theguardian.com/technology/2024/apr/09/metas-nick-clegg-plays-down-ais-threat-to-global-democracyhttps://telecom.economictimes.indiatimes.com/news/internet/symbolica-raises-31-million-to-develop-ai-systems-to-compete-with-openai/109169376https://www.theguardian.com/books/2024/apr/09/meta-discussed-buying-publisher-simon-schuster-to-train-aiOutline:(00:00:00) Introduction(00:00:44) Google’s Next-Generation AI Model Gemini 1.5 Pro is Now Available in Public Preview on Google Cloud’s Vertex AI Platform(00:03:22) Meta’s Nick Clegg plays down AI’s threat to global democracy(00:06:36) Symbolica raises $31 million to develop AI systems to compete with OpenAI(00:09:16) Meta ‘discussed buying publisher Simon & Schuster to train AI’

MiniGPT4-Video Revolutionizes Video Understanding, JailbreakBench Exposes Language Model Vulnerabilities

Researchers introduce MiniGPT4-Video, a multimodal language model designed for video understanding. JailbreakBench reveals vulnerabilities of language models to jailbreaking attacks. Plus, MeetKai releases Functionary-V2.4, an alternative to OpenAI function calling models. Also, Google DeepMind and Anthropic introduce Equal-Info Windows for efficient LLM training on compressed text.Sources:https://www.marktechpost.com/2024/04/08/researchers-from-kaust-and-harvard-introduce-minigpt4-video-a-multimodal-large-language-model-llm-designed-specifically-for-video-understanding/https://www.marktechpost.com/2024/04/08/this-machine-learning-paper-introduces-jailbreakbench-an-open-robustness-benchmark-for-jailbreaking-large-language-models/https://www.marktechpost.com/2024/04/08/meetkai-releases-functionary-v2-4-an-alternative-to-openai-function-calling-models/https://www.marktechpost.com/2024/04/08/google-deepmind-and-anthropic-researchers-introduce-equal-info-windows-a-groundbreaking-ai-method-for-efficient-llm-training-on-compressed-text/Outline:(00:00:00) Introduction(00:00:49) Researchers from KAUST and Harvard Introduce MiniGPT4-Video: A Multimodal Large Language Model (LLM) Designed Specifically for Video Understanding(00:04:52) This Machine Learning Paper Introduces JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models(00:08:05) MeetKai Releases Functionary-V2.4: An Alternative to OpenAI Function Calling Models(00:10:39) Google DeepMind and Anthropic Researchers Introduce Equal-Info Windows: A Groundbreaking AI Method for Efficient LLM Training on Compressed Text

Microsoft AI Researchers Design Adaptive Bitrate Algorithms, Alibaba Releases Multilingual LLM

Researchers at Microsoft AI propose LLM-ABR, a machine learning system that utilizes LLMs to design adaptive bitrate algorithms. Alibaba-Qwen releases Qwen1.5 32B, a new multilingual dense LLM. Plus, OpenAI introduces improvements to the fine-tuning API and expands its custom models program. Also, navigating the challenges and opportunities of synthetic voices with OpenAI's Voice Engine.Sources:https://www.marktechpost.com/2024/04/06/researchers-at-microsoft-ai-propose-llm-abr-a-machine-learning-system-that-utilizes-llms-to-design-adaptive-bitrate-abr-algorithms/https://www.marktechpost.com/2024/04/06/alibaba-qwen-releases-qwen1-5-32b-a-new-multilingual-dense-llm-with-a-context-of-32k-and-outperforming-mixtral-on-the-open-llm-leaderboard/https://openai.com/blog/introducing-improvements-to-the-fine-tuning-api-and-expanding-our-custom-models-programhttps://openai.com/blog/navigating-the-challenges-and-opportunities-of-synthetic-voicesOutline:(00:00:00) Introduction(00:00:49) Researchers at Microsoft AI Propose LLM-ABR: A Machine Learning System that Utilizes LLMs to Design Adaptive Bitrate (ABR) Algorithms(00:04:42) Alibaba-Qwen Releases Qwen1.5 32B: A New Multilingual dense LLM with a context of 32k and Outperforming Mixtral on the Open LLM Leaderboard(00:07:45) Introducing improvements to the fine-tuning API and expanding our custom models program(00:12:27) Navigating the Challenges and Opportunities of Synthetic Voices

Revolutionizing Mathematical Problem Solving, AI Agent Solves Data Science Tasks at Human Level

Researchers introduce the 'Self-Critique' pipeline, enhancing mathematical problem solving in large language models. Weco AI unveils 'AIDE', an AI agent that can automatically solve data science tasks at a human level. Facebook and Instagram label digitally altered content 'made with AI'. King's College London introduces a theoretical analysis of neural network architectures through topos theory.Sources:https://www.marktechpost.com/2024/04/05/researchers-from-zhipu-ai-and-tsinghua-university-introduced-the-self-critique-pipeline-revolutionizing-mathematical-problem-solving-in-large-language-models/https://www.marktechpost.com/2024/04/05/weco-ai-unveils-aide-an-ai-agent-that-can-automatically-solve-data-science-tasks-at-a-human-level/https://www.theguardian.com/technology/2024/apr/05/facebook-instagram-ai-label-digitally-altered-mediahttps://www.marktechpost.com/2024/04/05/this-ai-paper-from-kings-college-london-introduces-a-theoretical-analysis-of-neural-network-architectures-through-topos-theory/Outline:(00:00:00) Introduction(00:00:55) Researchers from Zhipu AI and Tsinghua University Introduced the ‘Self-Critique’ pipeline: Revolutionizing Mathematical Problem Solving in Large Language Models(00:03:55) Weco AI Unveils ‘AIDE’: An AI Agent that can Automatically Solve Data Science Tasks at a Human Level(00:06:50) Facebook and Instagram to label digitally altered content ‘made with AI’(00:09:20) This AI Paper from King’s College London Introduces a Theoretical Analysis of Neural Network Architectures Through Topos Theory

China’s AI Election Interference, Deep Learning at Scale, Gretel AI’s Text-to-SQL Dataset, and CAN for Image Generative Models

China's use of AI to disrupt elections in the US, South Korea, and India. Deep learning at scale with parallel model training. Gretel AI releases the largest open-source Text-to-SQL dataset. CAN introduces a new AI method for adding control to image generative models. Join us as we explore the implications of these advancements in artificial intelligence.Sources:https://www.theguardian.com/technology/2024/apr/05/china-using-ai-disrupt-electionshttps://towardsdatascience.com/deep-learning-at-scale-parallel-model-training-d7c22904b5a4https://www.marktechpost.com/2024/04/04/gretel-ai-releases-largest-open-source-text-to-sql-dataset-to-accelerate-artificial-intelligence-ai-model-training/https://www.marktechpost.com/2024/04/04/condition-aware-neural-network-can-a-new-ai-method-for-adding-control-to-image-generative-models/Outline:(00:00:00) Introduction(00:00:47) China will use AI to disrupt elections in the US, South Korea and India, Microsoft warns(00:03:26) Deep Learning At Scale: Parallel Model Training(00:05:39) Gretel AI Releases Largest Open Source Text-to-SQL Dataset to Accelerate Artificial Intelligence AI Model Training(00:08:31) Condition-Aware Neural Network (CAN): A New AI Method for Adding Control to Image Generative Models

The Paradox of Fine-Tuning AI, Navigating Large Language Models, Chinese Mourners Turn to AI, and Shallow Cross-Encoders for Low-Latency Retrieval

Can benign data undermine AI safety? This paper from Princeton University explores the paradox of machine learning fine-tuning. Plus, a study navigates large language model pre-training with downstreaming capability analysis. Chinese mourners turn to AI to remember and 'revive' loved ones. And researchers at the University of Glasgow propose shallow cross-encoders as an AI-based solution for low-latency information retrieval. Join us as we delve into these fascinating topics at Simply A.I.Sources:https://www.marktechpost.com/2024/04/03/can-benign-data-undermine-ai-safety-this-paper-from-princeton-university-explores-the-paradox-of-machine-learning-fine-tuning/https://www.marktechpost.com/2024/04/03/this-ai-study-navigates-large-language-model-llm-pre-training-with-down-streaming-capability-analysis/https://www.theguardian.com/technology/2024/apr/04/chinese-mourners-turn-to-ai-to-remember-and-revive-loved-oneshttps://www.marktechpost.com/2024/04/03/researchers-at-the-university-of-glasgow-propose-shallow-cross-encoders-as-an-ai-based-solution-for-low-latency-information-retrieval/Outline:(00:00:00) Introduction(00:00:45) Can Benign Data Undermine AI Safety? This Paper from Princeton University Explores the Paradox of Machine Learning Fine-Tuning(00:03:42) This AI Study Navigates Large Language Model (LLM) Pre-training With Down-streaming Capability Analysis(00:06:37) Chinese mourners turn to AI to remember and ‘revive’ loved ones(00:09:09) Researchers at the University of Glasgow Propose Shallow Cross-Encoders as an AI-based Solution for Low-Latency Information Retrieval

AI Safety Vulnerabilities, IDF’s Response to AI Claims, Healthcare AI Terminology, and Taylor AI’s Text Classification API

Discover the vulnerabilities in AI safety features and the urgent need for improved measures. Get insights into the IDF's response to claims about the use of an AI database in Gaza. Learn the common terms and concepts in healthcare AI. Explore Taylor AI's API for large-scale text classification and its advantages over LLMs. Stay informed about the latest developments in AI technology with Simply A.I.Sources:https://www.theguardian.com/technology/2024/apr/03/many-shot-jailbreaking-ai-artificial-intelligence-safety-features-bypasshttps://www.theguardian.com/world/2024/apr/03/israel-defence-forces-response-to-claims-about-use-of-lavender-ai-database-in-gazahttps://healthitanalytics.com/features/artificial-intelligence-in-healthcare-defining-the-most-common-termshttps://www.marktechpost.com/2024/04/03/meet-taylor-ai-a-yc-funded-startup-that-uses-its-api-for-large-scale-text-classification-and-is-cheaper-than-an-llm/Outline:(00:00:00) Introduction(00:00:43) Meet Taylor AI: A YC-Funded Startup that Uses its API for Large-Scale Text Classification and is Cheaper than an LLM

The Power of Deep Learning, MIT’s Generative AI Working Group, and Top AI Tools for Image Creation

Discover the potential of deep learning in transforming industries and shaping the future. Learn about MIT's working group on generative AI and the work of the future. Explore the top AI tools for image creation and unleash your creativity. Plus, find out how Upstage AI's Dataverse addresses challenges in data processing for large language models.Sources:https://thumbsean715.medium.com/the-potential-of-deep-learning-in-transforming-industries-and-shaping-the-future-3d18fd292c38https://news.mit.edu/2024/mit-launches-working-group-generative-ai-and-work-of-the-future-0328https://www.marktechpost.com/2024/04/01/top-artificial-intelligence-ai-tools-for-image-creation/https://www.marktechpost.com/2024/04/01/upstage-ai-introduces-dataverse-for-addressing-challenges-in-data-processing-for-large-language-models/Outline:(00:00:00) Introduction(00:00:43) The Potential of Deep Learning in Transforming Industries and Shaping the Future(00:03:18) MIT launches Working Group on Generative AI and the Work of the Future(00:05:49) Top Artificial Intelligence (AI) Tools for Image Creation(00:08:17) Upstage AI Introduces Dataverse for Addressing Challenges in Data Processing for Large Language Models

Innovative Deep Learning Architecture for Fluid Dynamics, MIT’s Working Group on Generative AI, and Open-Sourced Biomedical AI Model

SineNet by Texas A&M University and the University of Pittsburgh addresses temporal misalignment in fluid dynamics through deep learning. MIT launches a working group on generative AI and the work of the future. Researchers at Stanford and Databricks open-source BioMedLM, a 2.7 billion parameter GPT-style AI model trained on PubMed text. Plus, the rise of cybernetic doppelgängers and their impact on AI in various industries.Sources:https://www.marktechpost.com/2024/03/31/sinenet-by-texas-am-university-and-the-university-of-pittsburgh-innovates-pde-solutions-addressing-temporal-misalignment-in-fluid-dynamics-through-deep-learning/https://news.mit.edu/2024/mit-launches-working-group-generative-ai-and-work-of-the-future-0328https://www.marktechpost.com/2024/03/31/researchers-at-stanford-and-databricks-open-sourced-biomedlm-a-2-7-billion-parameter-gpt-style-ai-model-trained-on-pubmed-text/https://ytech.news/en/the-rise-of-cybernetic-doppelgangers-how-digital-twins-propel-ai-to-new-heights/Outline:(00:00:00) Introduction(00:00:41) SineNet by Texas A&M University and the University of Pittsburgh Innovates PDE Solutions: Addressing Temporal Misalignment in Fluid Dynamics Through Deep Learning(00:03:54) MIT launches Working Group on Generative AI and the Work of the Future(00:06:25) Researchers at Stanford and Databricks Open-Sourced BioMedLM: A 2.7 Billion Parameter GPT-Style AI Model Trained on PubMed Text(00:09:49) The Rise of Cybernetic Doppelgängers: How Digital Twins Propel AI to New Heights

Mini-Gemini: Advancing Vision Language Models, Context-Aware Decoding Improves Language Generation

Discover the groundbreaking Mini-Gemini framework enhancing multi-modality Vision Language Models (VLMs). Researchers present a simple context-aware decoding (CAD) method to improve language model generation. Unravel the mysteries of large language models and their surprising mechanism for retrieving stored knowledge. Explore the adaptive-RAG paradigm shift in question-answering systems. Join us as we delve into these cutting-edge advancements in artificial intelligence.Sources:https://www.marktechpost.com/2024/03/30/mini-gemini-a-simple-and-effective-artificial-intelligence-framework-enhancing-multi-modality-vision-language-models-vlms/https://www.marktechpost.com/2024/03/30/researchers-from-the-university-of-washington-and-meta-ai-present-a-simple-context-aware-decoding-cad-method-to-encourage-the-language-model-to-attend-to-its-context-during-generation/https://news.mit.edu/2024/large-language-models-use-surprisingly-simple-mechanism-retrieve-stored-knowledge-0325https://www.marktechpost.com/2024/03/30/adaptive-rag-enhancing-large-language-models-by-question-answering-systems-with-dynamic-strategy-selection-for-query-complexity/Outline:(00:00:00) Introduction(00:00:44) Mini-Gemini: A Simple and Effective Artificial Intelligence Framework Enhancing multi-modality Vision Language Models (VLMs)(00:02:52) Researchers from the University of Washington and Meta AI Present a Simple Context-Aware Decoding (CAD) Method to Encourage the Language Model to Attend to Its Context During Generation(00:06:08) Large language models use a surprisingly simple mechanism to retrieve some stored knowledge(00:09:17) Adaptive-RAG: Enhancing Large Language Models by Question-Answering Systems with Dynamic Strategy Selection for Query Complexity