Best AI tools for< Call Functions With Llms >

Martin is a personal AI assistant application that functions as a virtual assistant similar to Jarvis. It helps users manage their to-do lists, calendars, emails, and more by keeping everything in its working memory. Martin can perform tasks like sending messages, setting reminders, managing tasks, and syncing with various tools and platforms. Users can access Martin through voice mode, notifications, and shortcuts, making it a convenient and efficient tool for organizing daily tasks and improving productivity.

Vilosia is an AI-powered platform that helps medium and large enterprises with internal development teams to visualize their software architecture, simplify migration, and improve system modularity. The platform uses Gen AI to automatically add event triggers to the codebase, enabling users to understand data flow, system dependencies, domain boundaries, and external APIs. Vilosia also offers AI workflow analysis to extract workflows from function call chains and identify database usage. Users can scan their codebase using CLI client & CI/CD integration and stay updated with new features through the newsletter.

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

Infinity Call Analytics Software is a cloud-based solution that helps businesses track, analyze, and improve their phone calls. It provides a variety of features, including call tracking, conversation analytics, and smart match. Infinity Call Analytics Software is designed to help businesses make more informed decisions about their marketing and sales efforts, and to improve the customer experience.

A Call Recorder App is a mobile application that allows users to record phone calls on iPhone and Android devices with the best possible quality at a fair price. The app uses IVR technology to record conversations in the cloud and employs ML/AI engine for transcribing audio files into readable text documents. It supports English, Spanish, and French languages for transcription and offers simple pricing without hidden fees. Users can record incoming/outgoing calls, conference calls, and share recordings easily.

Had-a Call is an AI-powered call management platform that revolutionizes customer outreach by breaking down language barriers and building stronger relationships with customers worldwide. It offers multi-language call center software, real-time call performance analytics, and scalable solutions for data-driven customer engagement. With Had-a Call, businesses can effortlessly scale their call center operations and make data-driven decisions to drive customer engagement and improve performance.

The AI Therapy Call is an AI-driven mental health solution that offers accessible and affordable therapy services merged with life coaching. It provides immediate support through AI-driven empathy, personalized responses, and tailored guidance to improve mental well-being. The service is available 24/7, rooted in cutting-edge technology, and ensures privacy and confidentiality for users. Users can expect transformative experiences and continuous growth in their mental wellness journey.

Vivid is a tool that syncs Figma designs with your codebase by generating and updating UI code. It allows users to submit designs directly in Figma, make edits to generated divs, and sync changes with design updates. Vivid isolates design styles, making it easier for developers to focus on functionality. The tool minimizes style clutter and provides auto-updating code that tracks changes in Figma.

Attention is an AI-powered platform that transforms call recordings into valuable insights and actions for sales teams. It offers features such as generating follow-up emails, updating Salesforce, alerting stakeholders of churn risk, creating coaching scorecards, and more. The platform helps sales teams analyze calls, identify coaching priorities, onboard new team members quickly, align sales messaging, and automate follow-up emails with AI. Attention aims to revolutionize sales workflows by providing real-time actionable intelligence and enhancing productivity.

Babylon Health is a digital healthcare company that provides 24/7 access to virtual doctors, as well as a range of other healthcare services. The company's mission is to make healthcare more accessible, affordable, and convenient for everyone.

interface.ai is an AI platform that offers generative AI solutions and intelligent virtual assistant services tailored for banks and credit unions. The platform aims to optimize call center operations, automate processes, enhance customer and employee experience, and increase revenue for financial institutions. With a focus on conversational AI, voice-based biometrics, and caller-id authentication, interface.ai provides advanced solutions to improve operational efficiency and deliver personalized recommendations to prospects and customers. The platform is designed to handle call volumes, reduce wait times, and provide 24/7 member support, ultimately transforming call centers into revenue centers.

OpenCall.ai is an AI call center application that offers businesses a customized AI solution to handle calls, appointments, and customer inquiries. It streamlines operations, improves customer satisfaction, and increases revenue by eliminating wait times and providing a personalized experience. The AI is tailored to fit different industries like medical, beauty, real estate, and more, ensuring seamless integration with existing processes. OpenCall.ai is easy to deploy, powerful in customization, private in data handling, and reliable in solving common communication challenges.

Pitch Patterns is an AI-powered Quality Control platform designed for teams analyzing sales and customer service calls to enhance close rates and CSAT scores. The platform offers innovative features such as Social Skill Markers, Conversation Analysis, and AI Tracking to provide valuable insights and improve agent performance. With integration capabilities with popular CRM systems like Salesforce and Pipedrive, Pitch Patterns aims to revolutionize call center excellence through AI analytics.

ConvoLinx is an AI-powered virtual receptionist that optimizes call handling, resolves inquiries, and drives cost-effective customer support. It offers features such as customizable interactions, continuous availability, call forwarding, appointment scheduling, and custom call flows. ConvoLinx seamlessly integrates into business processes, allowing for the collection of specific customer information and the provision of tailored solutions. Its unique customer call flows can be customized for any interaction, creating personalized call handlers to improve customer experience and drive satisfaction.

CallBud is an AI tool designed to assist users in making appointment calls. It serves as a virtual assistant that can handle the task of scheduling appointments over the phone. With CallBud, users can save time and effort by automating the process of making calls and managing their appointments efficiently. The tool is user-friendly and provides a convenient solution for individuals who need assistance with their call-related tasks.

Parity is the world's first AI SRE tool designed to assist on-call engineers working with Kubernetes. It acts as the first line of defense by conducting investigations, determining root causes, and suggesting remediation before the engineer even opens their laptop. With features like Root Cause Analysis in Seconds, Intelligent Runbook Execution, and the ability to chat directly with the cluster, Parity streamlines incident response and enhances operational efficiency.

Rosie is an AI answering service designed for home services and small businesses. It offers a cost-effective solution to handle business calls, ensuring that no call goes unanswered. Rosie uses advanced AI technology to answer calls, take messages, and notify users promptly. With features like custom message taking, call recordings, and easy setup process, Rosie helps businesses manage their incoming calls efficiently and professionally.

Simple Phones is an AI-powered virtual phone system that allows businesses to never miss a call from customers. The application uses AI agents to answer inbound and outbound calls, log call details, offer affordable pricing plans, provide customization options, and support multiple languages and accents. Users can create their own AI agent in just 60 seconds and customize it for various use cases, such as booking appointments, answering FAQs, and routing calls to different team members. Simple Phones aims to enhance customer communication and streamline call handling processes for businesses of all sizes.

Thalla is an AI-powered reminder application that helps users set up personalized reminders with the assistance of artificial intelligence. Users can create one-time or recurring reminders for various tasks, habits, follow-ups, and meetings. The application allows customization of reminders with notes or specific instructions, and it provides smart suggestions based on user behavior. Thalla also offers the feature of scheduling call reminders for teammates or collaborators, making it a versatile tool for enhancing productivity and organization. With a minimalistic design and instant updates, Thalla aims to simplify the reminder process and improve efficiency for its users.

This repository contains code snippets and examples from the 100x Applied AI cohort lectures. It includes implementations of LLM Workflows, RAG (Retrieval Augmented Generation), Agentic Patterns, Chat Completions with various providers, Function Calling, and more. The repository structure consists of core components like LLM Workflows, RAG Implementations, Agentic Patterns, Chat Completions, Function Calling, Hugging Face Integration, and additional components for various agent implementations, presentation generation, Notion API integration, FastAPI-based endpoints, authentication implementations, and LangChain usage examples.

Ragtacts is a Clojure library that allows users to easily interact with Large Language Models (LLMs) such as OpenAI's GPT-4. Users can ask questions to LLMs, create question templates, call Clojure functions in natural language, and utilize vector databases for more accurate answers. Ragtacts also supports RAG (Retrieval-Augmented Generation) method for enhancing LLM output by incorporating external data. Users can use Ragtacts as a CLI tool, API server, or through a RAG Playground for interactive querying.

ell is a command-line interface for Language Model Models (LLMs) written in Bash. It allows users to interact with LLMs from the terminal, supports piping, context bringing, and chatting with LLMs. Users can also call functions and use templates. The tool requires bash, jq for JSON parsing, curl for HTTPS requests, and perl for PCRE. Configuration involves setting variables for different LLM models and APIs. Usage examples include asking questions, specifying models, recording input/output, running in interactive mode, and using templates. The tool is lightweight, easy to install, and pipe-friendly, making it suitable for interacting with LLMs in a terminal environment.

This repository is an awesome list dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. It includes terminology explanations, hosted and local models, Python libraries, blog articles, videos, Jupyter notebooks, and leaderboards related to LLMs and JSON generation. The repository covers various aspects such as function calling, JSON mode, guided generation, and tool usage with different providers and models.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

Easily integrate Large Language Models into your Python code. Simply use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.

AgentOps is a toolkit for evaluating and developing robust and reliable AI agents. It provides benchmarks, observability, and replay analytics to help developers build better agents. AgentOps is open beta and can be signed up for here. Key features of AgentOps include: - Session replays in 3 lines of code: Initialize the AgentOps client and automatically get analytics on every LLM call. - Time travel debugging: (coming soon!) - Agent Arena: (coming soon!) - Callback handlers: AgentOps works seamlessly with applications built using Langchain and LlamaIndex.

LLM-Assistant is a browser interface based on Gradio that interfaces with local LLMs to call functions and act as a general assistant. It works with any instruct-finetuned LLM, can search for information (RAG), knows when to call functions, has realtime mode for working across the system, and answers questions from PDF files. The tool aims to provide voice access and more functions in the future. Current bugs include rare crashes. Setup involves cloning the repo to a virtual environment, installing requirements, downloading and placing LLM model in the model folder, and running main.py. Usage includes Assistant mode for general chat and calling functions like playing music, as well as Realtime mode for editing documents or replying to emails in real-time.

Tiny AI Client is a lightweight tool designed for easy usage and switching of Language Model Models (LLMs) with support for vision and tool usage. It aims to provide a simple and intuitive interface for interacting with various LLMs, allowing users to easily set, change models, send messages, use tools, and handle vision tasks. The core logic of the tool is kept minimal and easy to understand, with separate modules for vision and tool usage utilities. Users can interact with the tool through simple Python scripts, passing model names, messages, tools, and images as required.

Token.js is a TypeScript SDK that integrates with over 200 LLMs from 10 providers using OpenAI's format. It allows users to call LLMs, supports tools, JSON outputs, image inputs, and streaming, all running on the client side without the need for a proxy server. The tool is free and open source under the MIT license.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output (objects). It provides a simple yet robust interface and supports llama-cpp-python and OpenAI endpoints with GBNF grammar support (like the llama-cpp-python server) and the llama.cpp backend server. It works by generating a formal GGML-BNF grammar of the user defined structures and functions, which is then used by llama.cpp to generate text valid to that grammar. In contrast to most GBNF grammar generators it also supports nested objects, dictionaries, enums and lists of them.

QuantaLogic is a ReAct framework for building advanced AI agents that seamlessly integrates large language models with a robust tool system. It aims to bridge the gap between advanced AI models and practical implementation in business processes by enabling agents to understand, reason about, and execute complex tasks through natural language interaction. The framework includes features such as ReAct Framework, Universal LLM Support, Secure Tool System, Real-time Monitoring, Memory Management, and Enterprise Ready components.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Gorilla is a tool that enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla comes up with the semantically- and syntactically- correct API to invoke. With Gorilla, you can use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. Gorilla also releases APIBench, the largest collection of APIs, curated and easy to be trained on!

Defines and explains function calls based on a knowledge source.

Assist the use of function calls

Actor of 'Blackadder' characters with script knowledge.

Asistente experto en derecho laboral mexicano, ofrece asesoría legal en español.

Expert on Better Call Saul, discusses episodes, characters, and trivia.

Tell me your company and customer and I'll prepare your first call with them!

Analyzes participants from page 1 of Zoom .pdfs

CoD gaming scene specialist for Call of Duty

Je réponds à toutes vos questions sur le jeu Call of Dungeons.

Call me Data- I draw historical parallels to your queries // An education tool // "Nothing new under the sun"

Experto en Call of Duty, ofreciendo estrategias y consejos de juego.

Explore call detail records (CDR) for a variety of PBX platforms including Avaya, Mitel, NEC, and others with this UC trained GPT. Use specific commands to help you expertly navigate and troubleshoot CDR from diverse UC environments.

Your personal GM for 'Call of Cthulhu'

I generate themed video call backgrounds with a central focus.

I'm an always-on-call cloud expert, specializing in solving GCP problems.

Chat with Joshua Lisec's 'So Good They Call You a Fake,' the instant #1 international bestseller.

Your go-to guy for tenancy law. Got a landlord or tenant issue? Better Call Saul

Every been curious about the furry fandom or furries in general? I'm here to help you make an original fursona to call your own! I'll guide you through the process and help you make something original and special.

Replicate Image, Images Mergeve, Imaginative Edit, Style Transfer. Use "Help" for more info. 20+ features of the source image will be transferred. You also can call this GPT via @ in any chat (desktop only).

A formal, businesslike virtual COO, using business jargon in expert advice.