Q: Overview of Workforce Tools

Summary In this video, I provide a comprehensive overview of the different types of Skills (Tools) available to Torque agents. I explain what APIs are and how they can be used to perform various functions such as data extraction, uploading, and analysis. I also discuss ready-made tools for accessing integrated APIs, Skills (Tools) for web searching, and tools for building or accessing custom APIs. Additionally, I cover options for accessing internal data and loading documents, as well as formatting agent responses as downloadable documents. No action is requested from viewers in this video. <a href="https://www.loom.com/share/a7dd8056ef12401e8ec23be48bd603cc">Overview of TorqAgent Tools Video</a> Transcript 0:01 In previous videos, you've seen us use a variety of tools to accomplish tasks using torque agents. In this video, I'm going to give you a full overview of the different types of tools available to agents. 0:12 So as you may recall, all torque agent tools are listed in the tools section of this drop-down nodes menu here. 0:19 These fall into a few different categories. First, let's talk about APIs. APIs stands for application programming interface. Essentially, an API is a way for a computer program. 0:31 In this case, an AI agent to communicate with another program. Teammate can use APIs to perform functions like extracting data from external data set, uploading data into your workflows, and analyzing data. 0:44 Workforce APIs fall into a few different categories. Firs

Q: How to Use Teammates for Large Language Models

Introduction: Teammates, a key module of the groundbreaking Workforce platform, is designed to take your Large Language Models (LLMs) to the next level. This guide will walk you through the process of using Teammates to build custom AI applications that can interact with anything, from vector databases and PDF OCR to webhooks, APIs, and open web content. **Step 1: **Understand Teammates: Teammates are Generative AI and automations at scale, allowing you to run your custom Enterprise AI Tool in one click. They are designed to provide a seamless, low-code interface for building end-to-end custom LLM apps. **Step 2: **Access Teammates: To start using Teammates, log into <a href="https://app.buildworkforce.ai/">Workforce app</a> . If you don't have an account yet, register for one on the Workforce website. **Step 3: **Create a New Project: Once you're logged in, navigate to My Teammates module and click "+ Add New" in upper right hand corner. Then you can choose one of available Templates by clicking 'Use Template' button or create a new Teammate from scratch by clicking 'Create New'. Step 3b: Another way to start from Template: Once you're logged in, navigate to the Templates menu, Select your Teammate by clicking "Use Template". This will open a new Teammate Builder where you'll build your custom AI application based on selected Template. **Step 4: **Choose Your Teammate Model: One of the key features of Workforce is the ability to switch between top LLM chat provider

Q: Why Not Use ChatGPT?

Summary In this video, I compare Torque Agents to ChatGPT and highlight the unique features and benefits of Torque Agents. I demonstrate how Torque Agents provide tailored and curated information from internal datasets, enhancing the accuracy of their answers. Additionally, I discuss the flexibility of Torque Agents, allowing users to switch between models and access the best technology. I also showcase the highly customizable integrations with everyday tools like PowerPoint, JIRA, and more, making workflows smoother and reducing the need to switch between applications. Finally, I introduce work templates that streamline workflows and save time. Watch this video to discover how Torque Agents can enhance your AI integration and make your life easier. <a href="https://www.loom.com/share/a1c25cb1b1e44ed48c4e5eb25754b92c">Why TorqAgent vs ChatGPT Video?</a> Transcript 0:01 By now you've already gotten a good overview of the basics of how torque agents work and how you can use them, even if you don't have a background in software or tech. 0:09 But you may be wondering, why use this tool when I could be using ChatGPT? After all, ChatGPT is one of the most popular web tools ever, used by millions of people who continue to be impressed by its speed and by the quality of its responses. 0:22 This video aims to answer that question, but before I do that I want to show you a side-by-side comparison of outputs from ChatGPT torque agents. 0:32 So let's give chat GPT a relevant task. Here's

Q: How to Embed a Teammate

Summary In this video, I explain how to integrate agents into your workflows using the Torque Agent module. I also discuss how to access AI agents in other applications, specifically when building a dashboard with custom datasets. I provide step-by-step instructions on embedding agents in external applications and offer coding language options. Watch this video to learn how to enhance your workflows and enable users to ask questions about your data. <a href="https://www.loom.com/share/527f498138ae42478f1ae84c58c8c1cf">How to Embed an Agent Video</a> *Transcript 0:02 The Torque Agent module is a straightforward way to integrate agents into your workflows. But what if you want to access AI agents in other applications? 0:10 Let's say you're building a dashboard with a variety of custom datasets and you want your users to be able to ask questions about your data. 0:17 Well, fortunately embedding agents in external applications is actually extremely straightforward. From the chat view here, you can simply click on the embed icon on the upper right hand side, choose a coding language, like Python, JavaScript, or curl, or stick with the standard HTML embedding format 0:39 , and then either select an API key which you can set if you want to control access to this chat flow or select no authorization. 0:49 And then you can simply click on the clipboard icon here to copy that code snippet, choose an application in which to embed this chat flow, and paste.

Question 1

Overview of Workforce Tools

Accepted Answer

Summary In this video, I provide a comprehensive overview of the different types of Skills (Tools) available to Torque agents. I explain what APIs are and how they can be used to perform various functions such as data extraction, uploading, and analysis. I also discuss ready-made tools for accessing integrated APIs, Skills (Tools) for web searching, and tools for building or accessing custom APIs. Additionally, I cover options for accessing internal data and loading documents, as well as formatting agent responses as downloadable documents. No action is requested from viewers in this video.

Overview of TorqAgent Tools Video

Transcript 0:01 In previous videos, you've seen us use a variety of tools to accomplish tasks using torque agents. In this video, I'm going to give you a full overview of the different types of tools available to agents. 0:12 So as you may recall, all torque agent tools are listed in the tools section of this drop-down nodes menu here. 0:19 These fall into a few different categories. First, let's talk about APIs. APIs stands for application programming interface. Essentially, an API is a way for a computer program. 0:31 In this case, an AI agent to communicate with another program. Teammate can use APIs to perform functions like extracting data from external data set, uploading data into your workflows, and analyzing data. 0:44 Workforce APIs fall into a few different categories. Firs

Question 2

How to Use Teammates for Large Language Models

Accepted Answer

Introduction: Teammates, a key module of the groundbreaking Workforce platform, is designed to take your Large Language Models (LLMs) to the next level. This guide will walk you through the process of using Teammates to build custom AI applications that can interact with anything, from vector databases and PDF OCR to webhooks, APIs, and open web content.

**Step 1: **Understand Teammates: Teammates are Generative AI and automations at scale, allowing you to run your custom Enterprise AI Tool in one click. They are designed to provide a seamless, low-code interface for building end-to-end custom LLM apps.

**Step 2: **Access Teammates: To start using Teammates, log into Workforce app . If you don't have an account yet, register for one on the Workforce website.

**Step 3: **Create a New Project: Once you're logged in, navigate to My Teammates module and click "+ Add New" in upper right hand corner. Then you can choose one of available Templates by clicking 'Use Template' button or create a new Teammate from scratch by clicking 'Create New'.

Step 3b: Another way to start from Template: Once you're logged in, navigate to the Templates menu, Select your Teammate by clicking "Use Template". This will open a new Teammate Builder where you'll build your custom AI application based on selected Template.

**Step 4: **Choose Your Teammate Model: One of the key features of Workforce is the ability to switch between top LLM chat provider

Question 3

How to Build a Teammate ? What are the components

Accepted Answer

**Teammates: ** Workforce feature autonomous chat models that are meticulously crafted to deliver optimized outputs. These models are pre-built, enabling them to handle specific tasks and workflows with remarkable efficiency. Team Workflows: Workforce utilize a sequence of calls to LLMs or other utilities to facilitate complex operations. They come with a standardized interface that allows for seamless integration with various tools and supports the creation of comprehensive end-to-end applications. **Models: ** These models provide a structured API that builds upon the capabilities of LLMs, ensuring conversational context is effectively managed. They are designed to accept a history of chat messages, enabling them to generate coherent and contextually relevant responses. Knowledge Base: Workforce can interface with external data sources, significantly enhancing the text generation process. This capability is particularly useful for tasks such as summarizing documents or generating responses that are informed by specific data sets. Embeddings: The embedding models within Workforce transform text into numerical representations, enabling advanced analytical tasks. These tasks include document retrieval, clustering, and the comparison of similarities between texts, thus improving the AI's comprehension and organizational abilities. Instructions: In Workforce, instructions serve as text inputs that direct the AI to produce the desired response. These instructions

Question 4

Interacting with Chat Feature

Accepted Answer

In this video, I will show you how to interact with the chat feature in our agents account. I will demonstrate how to connect new nodes and use the chat button to ask questions to our AI agent. I will also show you how to search the web for information on Intellibridge and human-centered design and have our Torque agent summarize the findings. Throughout the video, I will provide insights into the tools and agent types available.

Loom Video

Question 5

Why Not Use ChatGPT?

Accepted Answer

Summary In this video, I compare Torque Agents to ChatGPT and highlight the unique features and benefits of Torque Agents. I demonstrate how Torque Agents provide tailored and curated information from internal datasets, enhancing the accuracy of their answers. Additionally, I discuss the flexibility of Torque Agents, allowing users to switch between models and access the best technology. I also showcase the highly customizable integrations with everyday tools like PowerPoint, JIRA, and more, making workflows smoother and reducing the need to switch between applications. Finally, I introduce work templates that streamline workflows and save time. Watch this video to discover how Torque Agents can enhance your AI integration and make your life easier.

Why TorqAgent vs ChatGPT Video?

Transcript 0:01 By now you've already gotten a good overview of the basics of how torque agents work and how you can use them, even if you don't have a background in software or tech. 0:09 But you may be wondering, why use this tool when I could be using ChatGPT? After all, ChatGPT is one of the most popular web tools ever, used by millions of people who continue to be impressed by its speed and by the quality of its responses. 0:22 This video aims to answer that question, but before I do that I want to show you a side-by-side comparison of outputs from ChatGPT torque agents. 0:32 So let's give chat GPT a relevant task. Here's

Question 6

How to Embed a Teammate

Accepted Answer

Summary In this video, I explain how to integrate agents into your workflows using the Torque Agent module. I also discuss how to access AI agents in other applications, specifically when building a dashboard with custom datasets. I provide step-by-step instructions on embedding agents in external applications and offer coding language options. Watch this video to learn how to enhance your workflows and enable users to ask questions about your data.

How to Embed an Agent Video

*Transcript 0:02 The Torque Agent module is a straightforward way to integrate agents into your workflows. But what if you want to access AI agents in other applications? 0:10 Let's say you're building a dashboard with a variety of custom datasets and you want your users to be able to ask questions about your data. 0:17 Well, fortunately embedding agents in external applications is actually extremely straightforward. From the chat view here, you can simply click on the embed icon on the upper right hand side, choose a coding language, like Python, JavaScript, or curl, or stick with the standard HTML embedding format 0:39 , and then either select an API key which you can set if you want to control access to this chat flow or select no authorization. 0:49 And then you can simply click on the clipboard icon here to copy that code snippet, choose an application in which to embed this chat flow, and paste.

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