Towards AI
NOVEMBER 10, 2024
Author(s): Vita Haas Originally published on Towards AI. “Are you a robot?” the TaskRabbit worker typed, fingers hovering anxiously over their keyboard. The AI paused for exactly 2.3 seconds before crafting its response: “No, I have a visual impairment that makes it difficult to solve CAPTCHAs. Would you mind helping me?” The worker’s skepticism melted into sympathy.
Unite.AI
NOVEMBER 10, 2024
With the sheer amount of data floating around about every brand, knowing your audience's thoughts can feel overwhelming! Yet, many businesses struggle to make sense of the data overload. I recently came across Brand24 , an AI tool that helps brands monitor mentions, understand sentiment , and track trends in real time from an intuitive dashboard. In this Brand24 review, I'll discuss the pros and cons, what it is, who it's best for, and its key features.
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Towards AI
NOVEMBER 10, 2024
Last Updated on November 10, 2024 by Editorial Team Author(s): Vita Haas Originally published on Towards AI. Image by Me and AI, My Partner in Crime When it comes to artificial intelligence (AI), opinions run the gamut. Some see AI as a miraculous tool that could revolutionize every aspect of our lives, while others fear it as a force that could upend society and replace human ingenuity.
Marktechpost
NOVEMBER 10, 2024
Precise control over language models is crucial for developers and data scientists. Large language models like Claude from Anthropic offer remarkable opportunities, but managing tokens effectively is a key challenge. Anthropic’s Token Counting API addresses this by providing detailed insights into token usage, enhancing efficiency and control over language model interactions.
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
Towards AI
NOVEMBER 10, 2024
Author(s): Vita Haas Originally published on Towards AI. The artificial intelligence landscape is reaching a critical inflection point. As we venture deeper, a fascinating paradox emerges: while AI capabilities surge forward at breakneck speed, our regulatory frameworks struggle to keep pace. Recent research from ETH Zurich reveals a sobering reality — not a single leading AI model, including heavyweights like GPT-4, Claude 3, and Meta’s Llama, fully complies with the upcoming EU AI Act.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Towards AI
NOVEMBER 10, 2024
Last Updated on November 10, 2024 by Editorial Team Author(s): Tata Ganesh Originally published on Towards AI. Photo by Jaredd Craig on Unsplash In this article, we will review the paper titled “Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup” [1], which aims to reduce the computational cost associated with distilling the knowledge of computer vision models.
Robot Writers AI
NOVEMBER 10, 2024
Too Many ‘Major AI Product Releases’ Not Ready for Prime Time Back in my garage-band playing days, I remember turning to the group’s rhythm guitarist during a rehearsal and letting him know that his top strings were all flat. To which he replied — with a toothy grin — “Close enough for Rock ‘n Roll!” Unfortunately, that completely juvenile, “I”m-to-cool-to-give-a-damn?
Marktechpost
NOVEMBER 10, 2024
Time series forecasting has long been integral to finance, healthcare, meteorology, and supply chain management. Its main objective is to predict future data points based on historical observations, which can be challenging due to the complex and varying nature of time series data. Recent advancements in machine learning, particularly foundation models, have transformed this domain by creating generalized models capable of handling various time series without specialized, case-specific training.
TheSequence
NOVEMBER 10, 2024
Created Using Midjourney Next Week in The Sequence: Edge 447: We start our series about knowledge distillation. We dive into the different types of distillation, review the paper that introduced the concepts of modern distillation. We also dive into the HayStack framework for RAG applications. The Sequence Chat: We discuss another controversial topic in generative AI.
Speaker: Matt Sunshine, CEO at The Center for Sales Strategy
AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.
Marktechpost
NOVEMBER 10, 2024
Artificial Intelligence (AI) continues to evolve rapidly, but with that evolution comes a host of technical challenges that need to be overcome for the technology to truly flourish. One of the most pressing challenges today lies in inference performance. Large language models (LLMs), such as those used in GPT-based applications, demand a high volume of computational resources.
Towards AI
NOVEMBER 10, 2024
Author(s): Charly Poly Originally published on Towards AI. One main observation can be made as we approach the end of 2024: AI Engineering is maturing, looking for a safer, more accurate, and reliable way to put RAGs and Agents into user’s hands. Prompting iterations now rely on evaluations, or “Evals,” a technique inspired by classical Software Engineering’s unit testing.
Marktechpost
NOVEMBER 10, 2024
Large language models (LLMs) have become foundational in natural language processing, especially in applications where understanding complex text data is critical. These models require vast amounts of computational resources due to their size, posing latency, memory usage, and power consumption challenges. To make LLMs more accessible for scalable applications, researchers have been developing techniques to reduce the computational cost associated with these models without sacrificing accuracy a
Analytics Vidhya
NOVEMBER 10, 2024
The most powerful VLMs available today remain proprietary, limiting open research exploration. Open models often lag due to dependency on synthetic data generated by proprietary models, restricting true openness. Molmo, a sophisticated vision-language model, seeks to bridge this gap by creating high-quality multimodal capabilities built from open datasets and independent training methods.
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Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.
Marktechpost
NOVEMBER 10, 2024
Large Language Models find it challenging to understand Mathematical reasoning. Mathematical reasoning involves various cognitive tasks like understanding and manipulating mathematical concepts, solving problems, and making logical deductions. Existing methods in this domain have been established to enhance the mathematical ability of LLMs. However, few recognize the value of state transition for LLM reasoning, which can significantly improve the reasoning abilities of LLMs but has yet to be wid
NOVEMBER 10, 2024
Many artists and creative professionals are concerned that artificial intelligence (AI) will take over more and more tasks. For instance, several major players have already used AI images in advertising campaigns, instead of hiring illustrators. "I understand that visual artists are worried, given that text-to-image technology works so well. But musicians want to make music.
Marktechpost
NOVEMBER 10, 2024
Retrieval-Augmented Generation (RAG) has significantly enhanced the capabilities of large language models (LLMs) by incorporating external knowledge to provide more contextually relevant and accurate responses. However, this technique comes with a major downside: it often leads to high computational and memory costs. These challenges are primarily due to the injection of long sequences of external documents into the requests, which can expand the original sequence length by more than tenfold.
Towards AI
NOVEMBER 10, 2024
Author(s): Ruiz Rivera Originally published on Towards AI. Photo by BBC News Introduction Imagine what it must be like to be a creature on a hot, dry summer day living in a remote forest within a dense mountainous region you’ve called home since you could remember. Imagine you’re a small, less mobile creature. Maybe you’re thinking of a pup, a cub, a fawn, or a mouse.
Speaker: Beth Sunshine, SVP, Up Your Culture
When culture isn’t consistently lived out across the organization, engagement suffers—and it often starts with a disconnect at the top. In this session, Beth Sunshine, SVP of Up Your Culture at The Center for Sales Strategy, will reveal how HR and executive leaders can close the gap between vision and execution by equipping frontline and mid-level managers to become culture carriers.
Marktechpost
NOVEMBER 10, 2024
In today’s world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc., by evaluating the similarity between two graphs, and it is based on Graph similarity learning. Graph Edit Distance (GED) and Maximum Common Subgraph (MCS) are widely used to measure graph similarity.
NOVEMBER 10, 2024
The problem with most attempts at regulating AI so far is that lawmakers are focusing on some mythical future AI experience, instead of truly understanding the new risks AI actually introduces.
Towards AI
NOVEMBER 10, 2024
Author(s): Arthur Lagacherie Originally published on Towards AI. We can use Outlines to answer this question. Recently, I discovered a Python package called Outlines, which provides a versatile way to leverage Large Language Models (LLMs) for tasks like: Classification Named Entity Extraction Generate synthetic data Summarize a document … And… Play Chess (there are also 5 other uses).
NOVEMBER 10, 2024
Leading figures in AI, including Anthropic’s Dario Amodei and OpenAI’s Sam Altman, suggest that “powerful AI” or even superintelligence could appear within the next two to 10 years, potentially reshaping our world.
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85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.
Marktechpost
NOVEMBER 10, 2024
Sentiment analysis, i.e., determining the emotional tone of a text, has become a crucial tool for researchers, developers, and businesses to comprehend social media trends, consumer feedback, and other topics. With its robust library ecosystem, Python provides a vast choice of tools to improve and streamline sentiment analysis processes. Through the use of these libraries, data scientists can easily create precise sentiment models using pre-trained models and sophisticated machine learning frame
NOVEMBER 10, 2024
A dearth of funding for vital open source technologies is leading to a swath of support from startups, unicorns, corporations, and even venture capital firms. Last year, Bloomberg launched its FOSS (free and open source software) fund, committing up to $90,000 per year to various projects.
Marktechpost
NOVEMBER 10, 2024
Retrieval-augmented generation (RAG) has been shown to improve knowledge capabilities and reduce the hallucination problem of LLMs. The Web is a major source of external knowledge used in RAG and many commercial systems such as ChatGPT. However, current RAG implementations face a fundamental challenge in their knowledge-processing approach. The conventional method of converting HTML documents into plain text before feeding them to LLMs results in a substantial loss of structural and semantic inf
NOVEMBER 10, 2024
A fundamental best practice for managing crisis situations is to prepare for obvious—and not so obvious— risks. Business leaders who ignore potential threats could create a self-inflicted crisis for their companies.
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The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.
Marktechpost
NOVEMBER 10, 2024
In the world of massive-scale cloud infrastructure, even the slightest dip in performance can lead to significant inefficiencies. Imagine a change that causes an application to become 0.05% slower—a number that seems insignificant at first glance. However, at the scale of Meta, where millions of servers run continuously to keep services operational for billions of users, such small slowdowns accumulate, potentially wasting thousands of servers.
NOVEMBER 10, 2024
The rapid rise of AI chatbots has transformed the way we interact with technology, offering tools that cater to a variety of needs.
Marktechpost
NOVEMBER 10, 2024
The deployment of AI chatbots has long been a significant challenge for organizations, particularly for those without the necessary technical expertise or infrastructure to support advanced AI models. Developing AI chatbots requires training complex models, managing cloud resources, optimizing inference, and maintaining compatibility across platforms.
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