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Have you ever felt like youre drowning in customer inquiries and repetitive tasks, or just wish you had an assistant to handle conversations for you? Imagine having a chatbot that doesnt just respond but actually understands, learns, and improves over time, without you needing to be a coding expert. Thats where Botpress comes in. Botpress isnt just another chatbot builder.
AI is stealing your content. We know this is how AI companies have built their highly-valued businesses – by scraping the web and using your data to train their chatbots. Web scraping isn't new. In the past, websites could rely on simple protocols like robots.txt to define what could, and could not, be used by web crawlers. Those guidelines were respected by the companies doing the scraping to, say, build results for search engines.
For decades, scientists and engineers have worked to create humanoid robots capable of walking, talking, and interacting like humans. While significant progress has been made, building robots that can adapt to new environments or learn new skills has remained a complex and costly challenge. NVIDIA is addressing this with Isaac GR00T N1 , the worlds first open and customizable foundation model for humanoid robot reasoning and skills.
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AI-powered coding tools are changing the software development paradigm. Platforms like GitHub Copilot , Amazon CodeWhisperer , and ChatGPT have become essential for developers, helping them write code faster, debug efficiently, and tackle complex programming tasks with minimal effort. These AI-powered coding assistants can automate tedious tasks, provide real-time debugging, and help solve complex problems with just a few suggestions.
The race for dominance in code-focused language models is heating up, and Hugging Face has entered the arena with a strong contender: OlympicCoder-7B, a part of its Open-R1 initiative. Designed to excel at competitive programming, the model is fine-tuned using a Chain-of-Thought-enhanced Codeforces dataset. Remarkably, it has already shown impressive results, outperforming Claude 3.7 Sonnet […] The post Does Hugging Face’s 7B Model Beat Claude 3.7?
The race for dominance in code-focused language models is heating up, and Hugging Face has entered the arena with a strong contender: OlympicCoder-7B, a part of its Open-R1 initiative. Designed to excel at competitive programming, the model is fine-tuned using a Chain-of-Thought-enhanced Codeforces dataset. Remarkably, it has already shown impressive results, outperforming Claude 3.7 Sonnet […] The post Does Hugging Face’s 7B Model Beat Claude 3.7?
Mountain bikers have been leaning on motors and batteries to get us up hills for a while, and GPS systems to get us back home safely for even longer. Shimano has Autoshift and SRAM developed Eagle Powertrain with Auto Shift so you don’t have to bother with gear changes anymore. And then there’s Magura, which introduced Bosch eBike ABS so you can haul on the anchors on slippy roots without a second thought.
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Software maintenance is an integral part of the software development lifecycle, where developers frequently revisit existing codebases to fix bugs, implement new features, and optimize performance. A critical task in this phase is code localization, pinpointing specific locations in a codebase that must be modified. This process has gained significance with modern software projects’ increasing scale and complexity.
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The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Summary: Unleashing the Algorithmic Muse” delves into 19 transformative Generative AI applications across various industries. This exploration reveals how Generative AI is reshaping sectors like healthcare, marketing, and entertainment, enhancing creativity, personalization, and operational efficiency. As these technologies evolve, they promise to redefine industry standards and foster innovation.
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Language processing in the brain presents a challenge due to its inherently complex, multidimensional, and context-dependent nature. Psycholinguists have attempted to construct well-defined symbolic features and processes for domains, such as phonemes for speech analysis and part-of-speech units for syntactic structures. Despite acknowledging some cross-domain interactions, research has focused on modeling each linguistic subfield in isolation through controlled experimental manipulations.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
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Created Using Midjourney Next Week in The Sequence: We do a summary of our series about RAG. The opinion edition discusses whether NVIDIA is the best VC in AI. The engineering installement explores a new AI framework. The research edition explores the amazing Search-R1 model. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.
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Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
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