مجله مسیر هوشیاری

آدرس : مشهد  نبش حجاب 78 ساختمان پزشکان طبقه دوم واحد 12

a-a-Tehrani

Google introduces new features to help identify AI images in Search and elsewhere

Artificial Intelligence AI Image Recognition Ton-That says the larger pool of photos means users, most often law enforcement, are more likely to find a match when searching for someone. Specifically, it will include information like when the images and similar images were first indexed by Google, where the image may have first appeared online, and […]

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A Pros Guide to Finetuning LLMs Large language models LLMs like GPT-3 by David Shapiro

A Complete Guide to Fine Tuning Large Language Models You cannot cram knowledge or reasoning ability into an LLM with just a few examples. You can foun additiona information about ai customer service and artificial intelligence and NLP. Finetuning does not mean the LLM acquires deeper understanding or memories. Only the top layers are adjusted,

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200+ Bot Names for Different Personalities

Witty, Creative Bot Names You Should Steal For Your Bots Their plug-and-play chatbots can do more than just solve problems. For travel, a name like PacificBot can make the bot recognizable and creative for users. If you name your bot “John Doe,” visitors cannot differentiate the bot from a person. Speaking, or typing, to a

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Your Guide to Banking Automation

Banking Automation: Solutions That Are Revolutionizing the Finance Industry EdgeVerve, a subsidiary of Infosys Technologies, excels as a robotic process automation in the banking sector for large enterprises, especially those heavily relying on customer service, particularly in call centers. Offering the flagship RPA solution, AssistEdge Robotic Process Automation, and a suite of machine learning and

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mananjain02 llm-custom-data: In this project, I’ve implemented LLMs on custom data, using the power of RAG and Langchain

Harness the Power of Generative AI by Training Your LLM on Custom Data The total size of the GPT4All dataset is under 1 GB, which is much smaller than the initial 825 GB the base GPT-J model was trained on. If we look at a dataset preview, it is essentially just chunks of information that

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Как создать NFT НФТ картинку и продать ее

Поклонники НБА могут покупать и продавать NFT, однако авторские права принадлежат НБА, и воспроизведение любого приобретенного товара регулируется условиями лицензирования НБА. Также одним из наиболее распространенных критических замечаний является то, что NFT — это спекулятивный пузырь, который может лопнуть в любой момент. Зеленая повестка затрагивает различные сферы и в большинстве случаев не несет в себе

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Power Up Your Marketing with Custom Chatbots

Chatbot and Email Marketing: The Integration You Didnt Know You Needed Meanwhile, your agents will stay focused on complex customer service challenges instead of answering frequently asked questions. And you will easily scale customer service to handle any influx in cases, whenever they come your way. Enable customer self-service with guided, step-by-step directions right within

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Best AI Assistant for Work Productivity in 2024

Scale Support with AI Customer Service Chatbot Solutions No matter what stage you are at there are opportunities to improve and hurdles to overcome. Marketing, Sales, and Customer Service teams turn conversational experiences into revenue-driving outcomes with Landbot’s AI Chatbot Generator. With CXone, omnichannel interactions are managed holistically, from agents to supervisors and beyond. Integrated

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КапиталПроф Fx Pro: отзывы от реальных трейдеров 2022 SCAM-проверка

Правда, я пока на них толком ничего не заработал, здесь использовать тактики с Форекса вообще не получается, вроде бы основы похожие, но различия все равно существенные. Пока нарабатываю тактику, баланс держу на одном уровне, но мне нравится. По поводу компании — надежная и давно на рынке, косяков нет, а если и есть проблемы, то фирма

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Conversational AI chat-bot Architecture overview by Ravindra Kompella

Chatbot Architecture: Process, Types & Best Practices In this architecture, the chatbot operates based on predefined rules and patterns. It follows a set of if-then rules to match user inputs and provide corresponding responses. Rule-based chatbots are relatively simple but lack flexibility and may struggle with understanding complex queries. Inversely, machine learning powered chatbots are

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