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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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.
Marktechpost
APRIL 14, 2024
Digital agents, software entities designed to facilitate and automate interactions between humans and digital platforms, are gaining prominence as tools for reducing the effort required in routine digital tasks. Such agents can autonomously navigate web interfaces or manage device controls, potentially transforming how users interact with technology.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
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
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.
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 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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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.
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.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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.
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.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
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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