AI News
AUGUST 29, 2024
AI hardware startup Cerebras has created a new AI inference solution that could potentially rival Nvidia’s GPU offerings for enterprises. The Cerebras Inference tool is based on the company’s Wafer-Scale Engine and promises to deliver staggering performance. According to sources, the tool has achieved speeds of 1,800 tokens per second for Llama 3.1 8B, and 450 tokens per second for Llama 3.1 70B.
Analytics Vidhya
AUGUST 29, 2024
Introduction Suppose you are on the brink of a technological revolution, which is to embrace the Large Language Models (LLMs,) to unlock some incredible opportunities. As for many innovations from developing smart chatbots to analyzing data, LLMs are in the center of them. The good news? However, what people might not realize is that you […] The post 10 Free Resources to Learn LLMs appeared first on Analytics Vidhya.
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AI News
AUGUST 29, 2024
The demand for content is as high as ever in today’s digital world, with businesses, individuals, and marketers seeking fresh, engaging content to connect with their audiences. This increasing demand has resulted in the rise of AI-powered content writing tools , raising concerns from human writers about their future in this market. Can AI tools and human writers coexist in the online space?
Analytics Vidhya
AUGUST 29, 2024
Introduction LLMs are all the rage, and the tool-calling feature has broadened the scope of large language models. Instead of generating only texts, it enabled LLMs to accomplish complex automation tasks that were previously impossible, such as dynamic UI generation, agentic automation, etc. These models are trained over a huge amount of data. Hence, they […] The post Guide to Tool Calling in LLMs appeared first on Analytics Vidhya.
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Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Unite.AI
AUGUST 29, 2024
Sentiment analytics transforms financial market prediction by uncovering insights traditional analysis often misses. This strategy captures the market's mood and attitude toward assets and industries by processing text data from news, social media and financial reports. As its effectiveness becomes more evident, interest in using sentiment analysis for market forecasting rapidly grows.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Unite.AI
AUGUST 29, 2024
Scientific research is a fascinating blend of deep knowledge and creative thinking, driving new insights and innovation. Recently, Generative AI has become a transformative force, utilizing its capabilities to process extensive datasets and create content that mirrors human creativity. This ability has enabled generative AI to transform various aspects of research from conducting literature reviews and designing experiments to analyzing data.
AssemblyAI
AUGUST 29, 2024
Speech-to-text (also known as speech recognition or voice recognition) is a technology that converts spoken language into written text. It's the digital ears that listen and the virtual hands that type to translate our voices into words on a screen. This seemingly simple concept opens up a world of possibilities, from making our daily lives more convenient to transforming entire industries.
Unite.AI
AUGUST 29, 2024
In recent years, the digital world has seen significant changes, with chatbots becoming vital tools in customer service, virtual assistance, and many other areas. These AI-driven agents have advanced quickly, now handling various tasks, from answering simple questions to managing complex customer interactions. However, despite their growing capabilities, many chatbots still need help understanding the context of conversations, which is an essential aspect of human communication.
Extreme Tech
AUGUST 29, 2024
Google paused human images in its Imagen model earlier this year following an online backlash.
Speaker: Jesse Hunter and Brynn Chadwick
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Unite.AI
AUGUST 29, 2024
Shaktiman Mall is Principal Product Manager at Aviatrix. With more than a decade of experience designing and implementing network solutions, Mall prides himself on ingenuity, creativity, adaptability and precision. Prior to joining Aviatrix, Mall served as Senior Technical Marketing Manager at Palo Alto Networks and Principal Infrastructure Engineer at MphasiS.
AWS Machine Learning Blog
AUGUST 29, 2024
The AWS DeepRacer League is the world’s first autonomous racing league, open to everyone and powered by machine learning (ML). AWS DeepRacer brings builders together from around the world, creating a community where you learn ML hands-on through friendly autonomous racing competitions. As we celebrate the achievements of over 560,000 participants from more than 150 countries who sharpened their skills through the AWS DeepRacer League over the last 6 years, we also prepare to close this chapter w
Marktechpost
AUGUST 29, 2024
Cerebras Systems has set a new benchmark in artificial intelligence (AI) with the launch of its groundbreaking AI inference solution. The announcement offers unprecedented speed and efficiency in processing large language models (LLMs). This new solution, called Cerebras Inference , is designed to meet AI applications’ challenging and increasing demands, particularly those requiring real-time responses and complex multi-step tasks.
Extreme Tech
AUGUST 29, 2024
It didn't even launch any new products this past quarter either.
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Marktechpost
AUGUST 29, 2024
Ensuring the quality and stability of Large Language Models (LLMs) is crucial in the continually changing landscape of LLMs. As the use of LLMs for a variety of tasks, from chatbots to content creation, increases, it is crucial to assess their effectiveness using a range of KPIs in order to provide production-quality applications. Four open-source repositories—DeepEval, OpenAI SimpleEvals, OpenAI Evals, and RAGAs, each providing special tools and frameworks for assessing RAG applications and LLM
Extreme Tech
AUGUST 29, 2024
The team hopes this technique can reduce the use of non-recyclable materials.
Marktechpost
AUGUST 29, 2024
AI systems integrating natural language processing with database management can unlock significant value by enabling users to query custom data sources using natural language. Current methods like Text2SQL and Retrieval-Augmented Generation (RAG) are limited, handling only a subset of queries: Text2SQL addresses queries translatable to relational algebra, while RAG focuses on point lookups within databases.
IBM Journey to AI blog
AUGUST 29, 2024
In an era of rapid technological advancements, responding quickly to changes is crucial. Event-driven businesses across all industries thrive on real-time data, enabling companies to act on events as they happen rather than after the fact. These agile businesses recognize needs, fulfill them and secure a leading market position by delighting customers.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Extreme Tech
AUGUST 29, 2024
The chips are 65W CPUs now, but that could be changing soon.
Towards AI
AUGUST 29, 2024
Last Updated on September 2, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, the community and I are answering some recurring questions about RAG, coding assistants, transformers, machine learning, and more. You will also find fun collaboration opportunities and memes.
Extreme Tech
AUGUST 29, 2024
After flying its 23rd mission, the booster burst into flames.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Extreme Tech
AUGUST 29, 2024
The reusable material can absorb and release carbon dioxide on demand, offering a solution to both jam-packed landfills and unchecked carbon emissions.
Machine Learning Mastery
AUGUST 29, 2024
In recent years, machine learning has experienced a profound transformation with the emergence of LLMs and new techniques that improved the domain’s state of the art. Most of these advancements have mainly been initially revealed in research papers, which have introduced new techniques while reshaping our understanding and approach to the domain.
NVIDIA
AUGUST 29, 2024
Well before OpenAI upended the technology industry with its release of ChatGPT in the fall of 2022, Douwe Kiela already understood why large language models, on their own, could only offer partial solutions for key enterprise use cases. The young Dutch CEO of Contextual AI had been deeply influenced by two seminal papers from Google and OpenAI , which together outlined the recipe for creating fast, efficient transformer-based generative AI models and LLMs.
Marktechpost
AUGUST 29, 2024
The demand for processing power and bandwidth has increased exponentially due to the rapid advancements in Large Language Models (LLMs) and Deep Learning. The complexity and size of these models, which need enormous quantities of data and computer power to train properly, are the main causes of this demand spike. However, building high-performance computing systems is much more expensive due to the high cost of faster processing cores and sophisticated interconnects.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
NYU Center for Data Science
AUGUST 29, 2024
This entry is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS. Meet Aahlad Puli , who will join CDS this fall as a Faculty Fellow. Puli recently finished his PhD in Computer Science at NYU’s Courant Institute, advised by CDS Assistant Professor of Computer Science and Data Science Rajesh Ranganath.
TheSequence
AUGUST 29, 2024
Created Using Ideogram Google’s Gemma is one of the most interesting efforts in modern generative AI pushing the boundaries of small language models(SLMs). Unveiled last year by Google DeepMind, Gemma is a family of SLMs that achieved comparable performance to much larger models. A few days ago, Google released some additions to Gemma 2 that included a 2B parameter model but also two new tools that address some of the major challenges with foundation model adoption: security and interpreta
Marktechpost
AUGUST 29, 2024
Recent advancements in AI and deep learning have revolutionized 3D scene generation, impacting various fields, from entertainment to virtual reality. However, existing methods face challenges such as semantic drift during scene expansion, limitations in panorama representations, and difficulties managing complex scene hierarchies. These issues often result in inconsistent or incoherent generated environments, hampering the creation of high-quality, explorable 3D scenes.
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