How to use Flowise AI to build your own AI Automations with no code for Free

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Welcome to the RPA Champions Channel! In this comprehensive tutorial, we dive deep into the capabilities of FlowiseAI, a revolutionary no-code platform that empowers you to build complex LLM applications effortlessly. Whether you're a beginner or an experienced developer looking to streamline your workflow, this video is your ultimate guide.
0:00 - *Introduction & FlowseAI Overview*
Welcome to the RPA Champions Channel. If you're new here, make sure to subscribe for updates on innovative automations and AI tools.
0:22 - *Exploring FlowseAI*
Introduction to Flow Wise AI, a no-code platform that simplifies the development of LLM applications. Understand the basics and the platform's background, including its support from Y Combinator.
2:05 - *Setting Up FlowseAI*
Detailed guide on how to install and configure Flow Wise AI on your local machine using Node.js. Includes downloading necessary files and running installation commands.
4:00 - *FlowseAI Interface and Features*
Tour of the Flow Wise AI interface, highlighting the drag-and-drop functionality, API key setup, and how to manage generative AI model credentials.
6:01 - *Creating and Customizing Automations*
Step-by-step instructions on creating chat flows and customizing AI models within Flow Wise AI. This section also covers the setup of different automation components and the integration of API credentials.
8:09 - *Advanced Features and Practical Applications*
Explore advanced configurations, including switching between AI models, and practical demonstrations of Flow Wise AI's capabilities in real-time scenarios.
10:06 - *Enhancing Automations with FlowseAI*
Instructions on how to enhance automations by adjusting parameters like model temperature, and integrating prompt templates for customized interactions.
12:00 - *Deploying and Sharing Automations*
Guidance on embedding Flow Wise AI automations into websites, setting up APIs, and sharing your work publicly or within specific platforms.
14:00 - *Final Thoughts and Call to Action*
Summary of the video's key points, an invitation for viewer feedback, and encouragement to subscribe for more tutorials on creating AI and automation solutions.
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Опубликовано:

2 июл 2024

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Комментарии : 16

@danacarvey Месяц назад

Great video, thank you for being clear and consice!

@RPAChampion 15 дней назад

Thank you very much for your comment. Have a great day and let me know if you have any ideas for future videos.

@RoniBliss 3 дня назад

Thanks for the video. But you missed the whole automation part

@brianmartino1191 2 месяца назад

Thanks!

@RPAChampion Месяц назад

Wow thanks a lot. Let me know if you have any ideas for a video. I would love to create a automation video or to automate the process that you would like to see. Thank you again and have a great day. Also if you would like to share any information with me like who you are where you’re from and if you wanna engage in a conversation, feel free to ping me on Linkedin.

@brianmartino1191 2 месяца назад

I have a specific question: is it possible to create a chat flow within flowise AI where I could create one auto GPT supervisory agent and six auto GPT agents, all linked together in a process where each agent would have specific category of responsibility and the process would go through continuing iterations until the final outcome was acceptable? I believe this could be done with chains, but could it be done with autoGPT’s, which, for my application would be desirable in order to capture their greater reasoning capabilities?

@RPAChampion Месяц назад

Very good question probably you can get by by using agents and using different components of Lang chain to make something like that happen I am not sure how you would make it happen however I am pretty sure that there are easier tools to prop type such a complex solution, for example, autogen from Microsoft or crew AI much better processes to automate or to build a automation like the one that you are saying however great use case is great example and initially I would still product type it in lung chain with flow Wise so I have a MVP

@Vrilogs Месяц назад

great video! Can I bring other AI models such as from deepgram ? I am trying to build coversational ai phone agent. Thank you

@sullenfps Месяц назад

nobody wants to talk to ai on the phone

@RPAChampion 15 дней назад

You could use whisper from open AI or you can also use 11 lab the easiest would be to use open AI models because with one API you can do a lot of things

@RoniBliss 3 дня назад

@@sullenfps I think you're a little behind the times. There are natural voice models out there that are indistinguishable from humans then by using an LLM GPU like Groq the response / latency down to milliseconds people will have no idea they are even speaking to AI.

@RoniBliss 3 дня назад

There are no voice models on Flowise yet, but you can easily connect API endpoints to and from Deepgram, we use Bubble to create apps around flowise / LLM and have our endpoints connected to deepgram, actually are currently using VAPI for voice functionality but is has Deepgram support also.

@RoniBliss 3 дня назад

@@RPAChampion Yes and soon when OpenAI finally open up voice function on GPT 4o via the api it will be quite a gamechanger as you wont have to make call to get voice input, then have the voice input transcribed into text via TTS model then through LLM to STT for output, which causes extra latency / response time. The whole prcoess will be contained within GPT 4o.........

@jesusmiguel1560 2 месяца назад

Gotta rebrand to AI Champion.

@RPAChampion Месяц назад

Hey buddy, how are you doing? Are you checking out any AI automations? How’s work with my power? You are one of the first people to watch my channel thank you !

@jesusmiguel1560 Месяц назад

@@RPAChampion Moved away from Power Automate and have been in the GenAI/RPA/Agent space for automating IT Tier 1 Support calls. Looking forward to see GenAI videos in the future.