Flowlu is a SaaS platform that helps businesses stay organized and work more efficiently. It brings together tools for managing tasks, projects, clients, expenses, invoicing, sales, and team collaboration—all in one place. With Flowlu, teams can keep track of everything without jumping between different apps. It makes everyday work smoother, keeps important information easy to find, and helps businesses stay on top of their operations.
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Flowlu's answer:
Flowlu stands out for its seamless integration of essential business management tools within a single platform. It offers a comprehensive suite covering tasks, projects, expenses, invoicing, lead capture, knowledge sharing, and sales automation, streamlining operations and enhancing collaboration. Additionally, Flowlu's intuitive interface and customizable workflows cater to the diverse needs of businesses, ensuring scalability and adaptability. Its focus on providing a holistic solution for businesses of all sizes makes Flowlu uniquely positioned to drive efficiency and growth in today's dynamic market.
Flowlu's answer:
Choosing Flowlu over competitors offers several distinct advantages. Firstly, Flowlu provides a comprehensive suite of integrated tools, eliminating the need for multiple platforms and reducing costs. Secondly, its user-friendly interface and customizable workflows cater to diverse business needs, ensuring seamless adoption and scalability. Additionally, Flowlu's focus on continuous innovation and customer satisfaction sets it apart, with regular updates and responsive support. Finally, Flowlu's commitment to empowering businesses with actionable insights and streamlined operations makes it the preferred choice for those seeking efficiency and growth in their endeavors.
Flowlu's answer:
Our primary audience consists of small and medium-sized businesses (SMBs) seeking to streamline their operations, enhance collaboration among teams, and drive growth. These businesses often prioritize efficiency, cost-effectiveness, and scalability in their software solutions. They value intuitive platforms that offer comprehensive tools to manage tasks, projects, finances, customer relationships, and more, all within a single unified platform. Additionally, our audience appreciates responsive customer support and continuous innovation to meet their evolving needs.
Flowlu's answer:
Flowlu was born from a vision to revolutionize how businesses manage their operations. Recognizing the challenges faced by SMBs in juggling multiple tools and platforms, our founders set out to create a comprehensive solution that would streamline workflows, enhance collaboration, and drive growth. Drawing from their own experiences as entrepreneurs, they envisioned a platform that would empower businesses with the tools they need to succeed in today's competitive landscape. Thus, Flowlu was conceptualized as an all-in-one business management platform, integrating essential tools such as task and project management, CRM, invoicing, and more, into a single unified platform. Since its inception, Flowlu has been dedicated to empowering businesses with intuitive, scalable, and cost-effective solutions, enabling them to focus on what they do best – growing their business.
Based on our record, Jsonformer seems to be more popular. It has been mentiond 9 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.
How does this compare in terms of latency, cost, and effectiveness to jsonformer? https://github.com/1rgs/jsonformer. - Source: Hacker News / almost 2 years ago
I'm not sure how this is different than: https://github.com/1rgs/jsonformer or https://github.com/mkuchnik/relm or https://github.com/Shopify/torch-grammar Overall there are a ton of these logit based guidance systems, the reason they don't get tons of traction is the SOTA models are behind REST APIs that don't enable this fine-grained approach. Those... - Source: Hacker News / almost 2 years ago
You're correct with interpreting how the model works wrt it returning tokens one at a time. The model returns one token, and the entire context window gets shifted right by one to for account it when generating the next one. As for model performance at different context sizes, it's seems a bit complicated. From what I understand, even if models are tweaked (for example using the superHOT RoPE hack or sparse... - Source: Hacker News / almost 2 years ago
From here, we just need to continue generating tokens until we get to a closing quote. This approach was borrowed from Jsonformer which uses a similar approach to induce LLMs to generate structured output. Continuing to do so for each property using Replit's code LLM gives the following output:. - Source: dev.to / almost 2 years ago
Https://github.com/1rgs/jsonformer or https://github.com/microsoft/guidance may help get better results, but I ended up with a bit more of a custom solution. Source: almost 2 years ago
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