LiveAgent is a fully-featured omnichannel help desk software that offers an all-in-one help desk solution for businesses of all sizes and types. LiveAgent's core strength is the ability to integrate multiple communication channels such as email, live chat, phone support, social media but also rarely integrated channels like WhatsApp, Instagram and Viber.
LiveAgent boasts the fastest live chat widget on the market and over 180+ additional features, including ticketing, automation, tags, a customer portal and more. LiveAgent's pricing plans are smart - they enable you to pay for only what you use. Save money and time with LiveAgent.
LiveAgent is used by over 15,000 businesses worldwide including Forbes, Yamaha, eSky and Huawei. It has served over 150M end-users worldwide. Join them in providing world-class customer service. Start your free 30-day trial now, no contracts or credit card required.
LiveAgent is recommended for businesses and organizations looking for a versatile and integrated customer support platform. It's ideal for customer support teams in small to medium-sized companies across various industries. Companies seeking to consolidate their customer service interactions across multiple channels into a single, efficient platform may find it particularly beneficial.
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LiveAgent stands out with its ultra-fast performance, robust ticketing system, and user-friendly interface. It is a scalable solution equipped with over 180+ features and 200+ integrations, capable of growing as your customer service needs expand.
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LiveAgent offers 24/7 availability, an exceptional 20-second average response time, and extraordinary usability. Suitable for any type of business, its unbeatable value for money makes it a top choice for reliable and efficient customer service.
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Our primary audience consists of businesses of all sizes seeking to enhance their customer service experience. This includes startups, SMEs, and large corporations across various industries.
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Born out of the need for better customer interactions, LiveAgent was founded in 2004. Driven by the philosophy 'to treat customers as people, not tickets,' we've grown into a leading customer service solution.
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As a cloud-based solution, LiveAgent employs cutting-edge technologies to ensure a fast, secure, and reliable customer service platform. Our intricate infrastructure guarantees optimal functionality and high performance at all times.
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Renowned brands like Huawei, Yamaha, BMW, and Oxford University are proud users of LiveAgent, trusting us for world-class customer service.
LiveAgent has been a game-changer for our customer support operations. Its intuitive platform streamlined our ticket management, reduced response times by 40%, and empowered our team to focus on high-impact tasks. The automation features and omnichannel integration have elevated team productivity and customer satisfaction—a must-have for scaling tech-driven businesses.
Based on our record, Jupyter seems to be more popular. It has been mentiond 216 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 2 months ago
LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 4 months ago
Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 5 months ago
Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 9 months ago
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 12 months ago
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