Analytics Vidhya
FEBRUARY 11, 2024
Welcome to our Python Functions quiz! Functions are essential building blocks in Python programming, allowing you to organize code, promote reusability, and enhance readability. This quiz is designed to evaluate your proficiency in defining, calling, and utilizing functions effectively. Get ready to sharpen your skills and deepen your understanding of Python function concepts!
Marktechpost
FEBRUARY 11, 2024
Large language models (LLMs) are advancing the automation of computer code generation in artificial intelligence. These sophisticated models, trained on extensive datasets of programming languages, have shown remarkable proficiency in crafting code snippets from natural language instructions. Despite their prowess, aligning these models with the nuanced requirements of human programmers remains a significant hurdle.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
FEBRUARY 11, 2024
Sam Altman, the CEO of OpenAI, has set his sights on a staggering fundraising goal of $5 to $7 trillion to revolutionize the semiconductor industry. In the midst of a global chip shortage, Altman aims to address the scarcity of AI chips crucial for advancing technologies like ChatGPT and artificial general intelligence (AGI). This ambitious […] The post OpenAI’s Sam Altman Runs to Raise $7 Trillion to Transform AI Chip Industry appeared first on Analytics Vidhya.
Marktechpost
FEBRUARY 11, 2024
There’s been a significant shift towards creating powerful and pragmatically deployable models in varied contexts. This narrative centers on the intricate balance between developing expansive language models imbued with the capacity for deep understanding and generation of human language and the practical considerations of deploying these models efficiently, especially in environments constrained by computational resources.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
TheSequence
FEBRUARY 11, 2024
Created Using DALL-E Next Week in The Sequence: Edge 369: Our series about LLM reasoning continues with the recently published Chain-of-Code(CoC) method. We review the original CoC paper by Google DeepMind and the super popular Embedchain framework. Edge 370: We dive the new AlphaGeometry model created by Google DeepMind that is able to solve geometry problems at the level of a math olympiad gold medalist.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Robot Writers AI
FEBRUARY 11, 2024
From the Department of Love, AI Style: A Russian man has used AI writing to whisper sweet nothings to 5,000+ potential lovers — and find himself a bride. Observes Alexander Zhadan: “I proposed to a girl with whom ChatGPT had been communicating for me for a year. “To do this, the neural network re-communicated with 5,239 other girls — whom it eliminated as unnecessary and left only one.” Zhadan also credits ChatGPT for engaging in small talk, planning dates and ultim
Marktechpost
FEBRUARY 11, 2024
Graph Transformers need help with scalability in graph sequence modeling due to high computational costs, and existing attention sparsification methods fail to adequately address data-dependent contexts. State space models (SSMs) like Mamba are effective and efficient in modeling long-range dependencies in sequential data, but adapting them to non-sequential graph data is challenging.
Towards AI
FEBRUARY 11, 2024
Last Updated on February 12, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. “Consistent practice is the key to unlocking success in clearing any coding interview.” Concepts used: Window functions, CTE, Joins, Subqueries, and GROUP BY Photo by Christian Wiediger on Unsplash Q1. Assume you’re given a table containing data on Amazon customers and their spending on products in different categories, and write a query to identify the top two highest-grossing p
Marktechpost
FEBRUARY 11, 2024
Despite the utility of large language models (LLMs) across various tasks and scenarios, researchers need help to evaluate LLMs properly in different situations. They use LLMs to check their responses, but a solution must be found. This method is limited because there aren’t enough benchmarks, and it often requires a lot of human input. They urgently need better ways to test how well LLMs can evaluate things in all situations, especially when users define new scenarios.
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Explosion
FEBRUARY 11, 2024
An important application area is question answering over private enterprise documents where the main considerations are data security, which necessitates applications that can be deployed on-prem, [and] limited computational resources. [.] In addition to retrieving contextual documents, we use the spaCy library with custom rules to detect named entities from the organization.
Marktechpost
FEBRUARY 11, 2024
The emergence of Large Vision-Language Models (LVLMs) characterizes the intersection of visual perception and language processing. These models, which interpret visual data and generate corresponding textual descriptions, represent a significant leap towards enabling machines to see and describe the world around us with nuanced understanding akin to human perception.
Machine Learning Research at Apple
FEBRUARY 11, 2024
Convolution-BatchNorm (ConvBN) blocks are integral components in various computer vision tasks and other domains. A ConvBN block can operate in three modes: Train, Eval, and Deploy. While the Train mode is indispensable for training models from scratch, the Eval mode is suitable for transfer learning and beyond, and the Deploy mode is designed for the deployment of models.
Marktechpost
FEBRUARY 11, 2024
Nomic AI released an embedding model with a multi-stage training pipeline, Nomic Embed , an open-source, auditable, and high-performing text embedding model. It also has an extended context length supporting tasks such as retrieval-augmented-generation (RAG) and semantic search. The existing popular models, including OpenAI’s text-embedding-ada-002, lack openness and auditability.
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.
Viso.ai
FEBRUARY 11, 2024
AIAs tools like Dalle-2, ChaptGPT, and more have entered the playing field, the nature of content creation has been irreparably changed. AI-generated content is now everywhere and it can be very difficult for humans to identify and differentiate between what is created organically and what is not. We have seen AI content directly infiltrate content marketing, blog posts, product descriptions, and more.
Mlearning.ai
FEBRUARY 11, 2024
Machine Learning Through the Prism of Scientific Change Continue reading on MLearning.
Viso.ai
FEBRUARY 11, 2024
As tools like Dalle-2, ChaptGPT, and more have entered the playing field, the nature of content creation has been irreparably changed. AI-generated content is now everywhere and it can be very difficult for humans to identify and differentiate between what is created organically and what is not. We have seen AI content directly infiltrate content marketing, blog posts, product descriptions, and more.
Marktechpost
FEBRUARY 11, 2024
Diffusion models are a set of generative models that work by adding noise to the training data and then learn to recover the same by reversing the noising process. This process allows these models to achieve state-of-the-art image quality, making them one of the most significant developments in Machine Learning (ML) in the past few years. Their performance, however, is greatly determined by the distribution of the training data (mainly web-scale text-image pairs), which leads to issues like huma
Advertisement
Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Viso.ai
FEBRUARY 11, 2024
One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology. In this article, we will cover the following topics: Computer Vision vs.
Viso.ai
FEBRUARY 11, 2024
The developers of Detectron2 are Meta’s Facebook AI Research (FAIR) team, who have stated that “Our goal with Detectron2 is to support the wide range of cutting-edge object detection and segmentation models available today, but also to serve the ever-shifting landscape of cutting-edge research.” Detectron2 is a deep learning model built on the Pytorch framework, which is said to be one of the most promising modular object detection libraries being pioneered.
Viso.ai
FEBRUARY 11, 2024
ImageNet is a large-scale image database containing a vast amount of controlled and human-annotated images. This database has undoubtedly played a great impact in advancing computer vision software research. One of the crucial tasks in today’s AI is the image classification. It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video.
Viso.ai
FEBRUARY 11, 2024
One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology. In this article, we will cover the following topics: Computer Vision vs.
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.
Expert insights. Personalized for you.
294 
Let's personalize your content