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RESTful APIs (Application Programming Interfaces) are an integral part of modern web services, and yet as the popularity of large language models (LLMs) increases, we have not seen enough APIs being made accessible to users at the scale that LLMs can enable. Imagine verbally telling your computer, “Get me weather data for Seattle” and have it magically retrieve the correct and latest information from a trusted API.
In this contributed article, Daniela De La Vega Smith, an accomplished legal and compliance professional, discusses how AI-driven contract analysis, workflow automation, and predictive insights are changing the game for legal operations. From optimizing contract reviews with natural language processing to enabling cross-departmental collaboration and proactive risk assessment, Daniela talks about how AI is transforming contract lifecycle management into a more efficient, accurate, and proactive
In this tutorial, you will learn how to construct iterate update and train a CNN model using JAX, Flax, and Optax on the MNIST dataset. This tutorial starts from how to set up the environment and preprocess the data to how to define the CNN structure and the final step is to test the model. […] The post Image Classification with JAX, Flax, and Optax : A Step-by-Step Guide appeared first on Analytics Vidhya.
In this contributed article, Harikrishna Kundariya, co-founder, Director of eSparkBiz Technologies, discusses how generative AI is emerging as a revolutionary technology that is simplifying as well as reducing the cost of doing business across sectors. Generative AI is the new innovation after the Industrial Revolution that is going to bring remarkable changes in every aspect of the overall business environment.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
In an era where artificial intelligence (AI) is tasked with navigating and synthesizing vast amounts of information, the efficiency and accuracy of retrieval methods are paramount. Anthropic, a leading AI research company, has introduced a groundbreaking approach called Contextual Retrieval-Augmented Generation (RAG). This method marries traditional retrieval techniques with innovative tweaks, significantly enhancing retrieval accuracy and relevance. […] The post Magic Behind Anthropic’s C
Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world's most advanced data storage technology and services, today announced the expansion of its AI solutions with the new Pure Storage GenAI Pod, a full-stack solution providing turnkey designs built on the Pure Storage platform.
The rise of large language models (LLMs) like Gemini and GPT-4 has transformed creative writing and dialogue generation, enabling machines to produce text that closely mirrors human creativity. These models are valuable tools for storytelling, content creation, and interactive systems, but evaluating the quality of their outputs remains challenging.
The rise of large language models (LLMs) like Gemini and GPT-4 has transformed creative writing and dialogue generation, enabling machines to produce text that closely mirrors human creativity. These models are valuable tools for storytelling, content creation, and interactive systems, but evaluating the quality of their outputs remains challenging.
A chatbot is a computer program that can talk to people. It can answer questions and help users anytime. You don’t need to know a lot about coding to make one. There are free tools that make it simple and fun. In this article, we will use a tool called ChatterBot.
Have you ever been curious about what powers some of the best Search Applications such as Elasticsearch and Solr across use cases such e-commerce and several other document retrieval systems that are highly performant? Apache Lucene is a powerful search library in Java and performs super-fast searches on large volumes of data. The indexing and […] The post Guide to Apache Lucene for High Performance Search Applications appeared first on Analytics Vidhya.
BART is truly one of a kind in the ever-changing realm of NLP, as a strong model that has drastically changed the way we think of text generation and understanding. BART, which is short for Bidirectional and Autoregressive Transformer, takes the best aspects of both sides of the transformer architectures into one single view. In […] The post Guide to BART (Bidirectional & Autoregressive Transformer) appeared first on Analytics Vidhya.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Nvidia’s Blackwell GPUs face overheating challenges impacting major tech clients. The next-generation processors are struggling to perform effectively in server racks housing 72 GPUs, raising concerns for companies like Google, Meta, and Microsoft about timely deployment. Reports indicate that Nvidia is reevaluating its rack designs multiple times due to these overheating issues, which risk damaging components and limit GPU performance.
The field of multi-agent systems (MAS) in artificial intelligence is rapidly advancing with new frameworks enhancing collaborative and automated decision-making. Two new entries in this space are OpenAI’s Swarm and Microsoft’s Magentic-One, both of which offer different approaches to the development and deployment of multi-agent systems.
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Tensor parallelism provides an effective way to increase server large language model (LLM) inference efficiency despite adding an additional communication cost. However, as server LLMs continue to scale in size, they will need to be distributed across more devices, magnifying the communication cost.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Serverless. With support for binary embedding in Amazon Bedrock and a binary vector store in OpenSearch Serverless, you can use binary embeddings and binary vector store to build Retrieval Augmented Generation (RAG) applications in Amazon Bedrock Knowledge Bases, reducing memory usage and overall costs.
For years, the promise of truly intelligent, conversational AI has felt out of reach. We’ve marveled at the abilities of ChatGPT, Gemini , and other large language models (LLMs) – composing poems, writing code, translating languages – but these feats have always relied on the vast processing power of cloud GPUs. Now, a quiet revolution is brewing, aiming to bring these incredible capabilities directly to the device in your pocket: an LLM on your smartphone.
Last Updated on November 18, 2024 by Editorial Team Author(s): Barhoumi Mosbeh Originally published on Towards AI. source On November 11, Alibaba announced its most advanced coding model to date: Qwen 2.5-Coder-32B-Instruct. But that’s not all, it’s actually part of a whole family of coding models! In addition to the 32B model, there are versions with 0.5B, 1.5B, 3B, 7B, and 14B parameters.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Resilient architectures are the foundation upon which successful businesses are built. However, keeping up with the latest advancements and making sure your systems are resilient can be a daunting task. Between monitoring, analyzing, and documenting architectural findings, a lack of crucial information can leave your organization vulnerable to potential risks and inefficiencies.
I went from occasional AI user to power user in months. How? My mindset for how to approach AI evolved. Now, I reach for AI every day. I once read that professionals aren’t going to be replaced by AI, rather, they will be replaced by other professionals who use AI. This idea that someone who leverages AI will perform better at their work is now supported by research.
Recent enhancements in the field of generative AI , such as media generation technologies, are rapidly transforming the way businesses create and manipulate visual content. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, pr
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
This post is co-authored with Nishant Gupta from InsuranceDekho. The insurance industry is complex and overwhelming, with numerous options that can be hard for consumers to understand. This complexity hinders customers from making informed decisions. As a result, customers face challenges in selecting the right insurance coverage, while insurance aggregators and agents struggle to provide clear and accurate information.
Author(s): Mukundan Sankar Originally published on Towards AI. I thought I had cracked the code for automated SWOT analysis… until Neuro-symbolic AI revealed an entirely new layer of depth. This member-only story is on us. Upgrade to access all of Medium. Image Depicting the Evolution of SWOT Analysis using AI and Neuro-symbolic AI using Napkin AI created by the Author You know that feeling when you think you’ve figured something out, only to discover you’ve only scratched the surface?
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Cloud technologies are progressing at a rapid pace. Businesses are adopting new innovations and technologies to create cutting-edge solutions for their customers. However, security is a big risk when adopting the latest technologies. Enterprises often rely on reactive security monitoring and notification techniques, but those techniques might not be sufficient to safeguard your enterprises from vulnerable assets and third-party attacks.
Salesforce CEO Marc Benioff is impressing the tech community with his endorsement of Google’s Gemini Live, an AI voice assistant. He praised it on social media, noting its zero latency and calling it the “future of consumer AI.” This accolade reflects his ongoing exploration of AI technologies, particularly in consumer applications.
Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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