Analytics Vidhya
APRIL 14, 2024
French startup, Mistral AI, has launched its latest large language model (LLM), Mixtral 8x22B, into the artificial intelligence (AI) landscape. Similar to its previous models, this too aligns with Mistral’s commitment to open-source development. This impressive new model positions the company as a formidable competitor to industry giants like OpenAI, Meta, and Google.
Marktechpost
APRIL 14, 2024
Scientific research, crucial for advancing human well-being, faces challenges due to its complexity and slow pace, requiring specialized expertise. Integrating AI, particularly LLMs, could revolutionize this process. LLMs are good at processing large amounts of data and identifying patterns, potentially accelerating research by suggesting ideas and aiding in experimental design.
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Artificial Lawyer
APRIL 14, 2024
Global law firm Linklaters has today unveiled a new, more user-centric version of its CreateiQ contract lifecycle platform to provide an ‘intuitive user interface, geared.
Marktechpost
APRIL 14, 2024
Memory is significant for intelligence as it helps to recall past experiences and apply them to current situations. However, because of the way their attention mechanism works, both conventional Transformer models and Transformer-based Large Language Models (LLMs) have limitations when it comes to context-dependent memory. The memory consumption and computation time of this attention mechanism are both quadratic in complexity.
Speaker: David Warren and Kevin O’Neill Stoll
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
Robot Writers AI
APRIL 14, 2024
Most newsrooms across the U.S. and Europe are all-in on AI, according to a new study from the Associated Press, which found that nearly 70% of those surveyed are already using AI in some way. “It’s an exciting moment for journalism and technology, maybe a little too exciting, which makes it difficult to plan for the next year let alone what may transpire in the next 10 years,” says Aimee Rinehart, co-author of the AP study.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Machine Learning Research at Apple
APRIL 14, 2024
Existing vision-language models exhibit strong generalization on a variety of visual domains and tasks. However, such models mainly perform zero-shot recognition in a closed-set manner, and thus struggle to handle open-domain visual concepts by design. There are recent finetuning methods, such as prompt learning, that not only study the discrimination between in-distribution (ID) and out-of-distribution (OOD) samples, but also show some improvements in both ID and OOD accuracies.
Marktechpost
APRIL 14, 2024
In AI, a particular interest has arisen around the capabilities of large language models (LLMs). Traditionally utilized for tasks involving natural language processing, these models are now being explored for their potential in computational tasks such as regression analysis. This shift reflects a broader trend towards versatile, multi-functional AI systems that handle various complex tasks.
Great Learning
APRIL 14, 2024
Selecting the right career options after 12th commerce is a crucial decision that sets the direction of your professional life. For students from the commerce stream, the options are various, such as financial services, banking, business, management, and more. The key lies in understanding your own strengths, interests, and aspirations. Here, we provide a comprehensive […] The post Best Career Options After 12th Commerce appeared first on Great Learning Blog: Free Resources what Matters to
Marktechpost
APRIL 14, 2024
Significant progress has been made in LLMs, or large-scale language models, which have absorbed a fundamental linguistic understanding of the environment. However, LLMs, despite their proficiency in historical knowledge and insightful responses, are severely deficient in real-time comprehension. Imagine a pair of trendy smart glasses or a home robot with an embedded AI agent as its brain.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Machine Learning Mastery
APRIL 14, 2024
Generating pictures using Stable Diffusion in all cases would involve to submit a prompt to the pipeline. This is only one of the parameters, but the most important one. An incomplete or poorly constructed prompt would make the resulting image not as you would expect. In this post, you will learn some key techniques to […] The post Prompting Techniques for Stable Diffusion appeared first on MachineLearningMastery.com.
Marktechpost
APRIL 14, 2024
In the dynamic world of data visualization and business intelligence, Tableau and Power BI stand out as leading tools. Both platforms harness the power of AI to provide deep insights and make data-driven decisions more accessible. Let’s explore the key features, advantages, and disadvantages, culminating in a comparative table summarizing their differences and similarities.
Machine Learning Mastery
APRIL 14, 2024
Generating pictures using Stable Diffusion in all cases would involve to submit a prompt to the pipeline. This is only one of the parameters, but the most important one. An incomplete or poorly constructed prompt would make the resulting image not as you would expect. In this post, you will learn some key techniques to […] The post Prompting Techniques for Stable Diffusion appeared first on MachineLearningMastery.com.
Machine Learning Research at Apple
APRIL 14, 2024
Long prompts present a significant challenge for practical LLM-based systems that need to operate with low latency and limited resources. We investigate prompt compression for zero-shot dialogue systems that learn to use unseen APIs directly in-context from their documentation, which may take up hundreds of prompt tokens per API. We start from a recently introduced approach (Mu et al., 2023) that learns to compress the prompt into a few “gist token” activations during finetuning.
Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.
The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven
Machine Learning Research at Apple
APRIL 14, 2024
Pretrained language models are commonly adapted to comply with human intent and downstream tasks via finetuning. The finetuning process involves supervised finetuning (SFT), using labeled samples, and/or reinforcement learning based fine-tuning (RFT) via policy gradient methods, using a (possibly learned) reward function. This work highlights an overlooked optimization hurdle in RFT: we prove that the expected gradient for an input sample (i.e. prompt) vanishes if its reward standard deviation u
TheSequence
APRIL 14, 2024
Created Using DALL-E Next Week in The Sequence: Edge 387: Our series about autonomous agents continues with an overview of tool learning. We review UC Berkeley’s Gorilla LLM which is fine-tuned for tool learning and the Microsoft TaskWeaver framework. Edge 388: We deep dive into SIMA, Google DeepMind’s agent that can follow instructions to interact with any 3D environment.
Machine Learning Research at Apple
APRIL 14, 2024
Inspired by the advancements in foundation models for language-vision modeling, we explore the utilization of transformers and large-scale pretraining on biosignals. In this study, our aim is to design a general-purpose architecture for biosignals that can be easily trained on multiple modalities and can be adapted to new modalities or tasks with ease.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Analytics Vidhya
APRIL 14, 2024
Introduction In today’s digital era, brimming with endless possibilities, the urge to acquire knowledge and unleash creativity continues to flourish. Within this context, LearnGPT emerges as a beacon, extending its reach to those keen on deepening their insights on different topics. Established with the ambition to democratize education, LearnGPT exemplifies the pivotal role of technology […] The post End-to-End Learning Made Easy with LearnGPT appeared first on Analytics Vidhya.
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