Best AI tools for< Improve Chatbot Performance >

bottest.ai is an AI-powered chatbot testing tool that focuses on ensuring quality, reliability, and safety in AI-based chatbots. The tool offers automated testing capabilities without the need for coding, making it easy for users to test their chatbots efficiently. With features like regression testing, performance testing, multi-language testing, and AI-powered coverage, bottest.ai provides a comprehensive solution for testing chatbots. Users can record tests, evaluate responses, and improve their chatbots based on analytics provided by the tool. The tool also supports enterprise readiness by allowing scalability, permissions management, and integration with existing workflows.

moderation.dev is an AI tool that offers domain-specific guardrails to help organizations identify and manage risks efficiently. By leveraging AI technology, the tool provides custom guardrail models in just one click. It specializes in predicting risks associated with AI chatbots and creating models to intercept queries that a traditional chatbot might struggle to answer accurately.

Sinopsis AI is an analytics tool designed for AI chatbots, offering detailed insights into user interactions to enhance response accuracy and user experience. It seamlessly integrates with existing systems, providing real-time data updates and customizable analytics reports. With a user-friendly platform and model-agnostic compatibility, Sinopsis AI empowers businesses to optimize their chatbot performance and improve customer engagement strategies.

Tiqt is an all-in-one AI-powered platform designed to help WooCommerce businesses grow by simplifying workflow, increasing sales, and providing smart solutions for product and order management. With features like a smart sales assistant chatbot, automated customer support, and product optimization tools, Tiqt aims to revolutionize the e-commerce experience. Say goodbye to lost sales and hello to a seamless shopping journey with Tiqt.

TarsyAI is an AI tool that allows users to build AI assistants without the need for coding. Users can create customized AI assistants to manage customer support, lead generation, sales, and more. The platform offers features such as training with own data, customizing chat widgets, deploying AI assistants, monitoring and improving performance. TarsyAI supports multiple languages, provides advanced AI instructions, lead generation capabilities, and detailed analytics to enhance user interactions. The tool offers various pricing options to cater to different user needs, with a free trial available for all plans.

Private LLM is a secure, local, and private AI chatbot designed for iOS and macOS devices. It operates offline, ensuring that user data remains on the device, providing a safe and private experience. The application offers a range of features for text generation and language assistance, utilizing state-of-the-art quantization techniques to deliver high-quality on-device AI experiences without compromising privacy. Users can access a variety of open-source LLM models, integrate AI into Siri and Shortcuts, and benefit from AI language services across macOS apps. Private LLM stands out for its superior model performance and commitment to user privacy, making it a smart and secure tool for creative and productive tasks.

VOC AI is a unified customer experience management platform that fuses customer insights with AI chatbot excellence. It offers various tools and features such as market insight, sentiment analysis, competitive analysis, customer analytics, product research, review analysis, social listening, and more. The platform empowers Amazon sellers to understand customer needs, develop better products, and enhance services. With AI-powered chatbots and analysis tools, VOC AI helps businesses gain actionable insights, improve customer satisfaction, and boost sales performance.

StartConvo is an AI tool that allows users to create custom AI chatbots for websites to enhance customer support, engagement, and user experience. The platform offers easy integration, intelligent query resolution, performance analytics, customizable responses, and 24/7 availability. Users can design tailored chatbots, connect to a knowledge base, and gain deep insights into customer interactions. StartConvo revolutionizes customer service by automating tasks, freeing up team members for high-value activities, and providing round-the-clock support.

Leadster is an AI-powered marketing chatbot designed to increase lead generation by engaging and qualifying leads automatically. It offers interactive chatbot features to personalize visitor interactions, qualify leads 24/7, and distribute leads intelligently. Leadster integrates with various systems, tracks campaign performance, and optimizes lead conversion. The tool is user-friendly, requires no programming knowledge, and provides over 2000 integration possibilities. Leadster is a leader in conversational marketing in Brazil, validated by over 2000 companies. It helps businesses generate more qualified leads, optimize sales processes, and improve lead quality.

Talklab is an AI-powered chatbot platform that revolutionizes communication by providing intelligent chatbots for customer support. The platform allows businesses to easily monitor and improve customer interactions through advanced technology. Talklab enables users to create and configure chatbots using natural language processing, providing continuous support to customers 24/7. With features like intention configuration, global text and table settings, and conversation tracking tools, Talklab empowers businesses to enhance customer service and gain valuable insights from chatbot interactions.

Omnichat Blog 2.0 is an AI-powered platform that offers omnichannel messaging solutions for businesses, enabling seamless communication with customers across various messaging channels such as WhatsApp, Facebook Messenger, Instagram, LINE, and WeChat. The platform provides features like automated messaging, chatbot development, personalized customer interactions, and integration of messaging channels into existing systems. With a focus on enhancing customer communication and driving growth, Omnichat helps businesses improve sales, customer satisfaction, and marketing strategies.

Cognii is an AI-based educational technology provider that offers solutions for K-12, higher education, and corporate training markets. Their award-winning EdTech product enables personalized learning, intelligent tutoring, open response assessments, and rich analytics. Cognii's Virtual Learning Assistant engages students in chatbot-style conversations, providing instant feedback, personalized hints, and guiding towards mastery. The platform aims to deliver 21st-century online education with superior learning outcomes and cost efficiency.

ACEPAL is a personalized marketing advice platform that provides tailored guidance for a wide range of marketing tasks. It leverages advanced AI techniques, including Dynamic Prompt Builder and Advice Optimization Chatbot, to enhance marketing effectiveness. With ACEPAL, users can select a specific marketing task and provide relevant variables to receive personalized advice and recommendations.

Eggheads is an AI-powered microlearning platform that offers conversational micro content through an e-learning chatbot. It enables businesses to create, share, analyze, and integrate short, personalized learning modules for employees. With a focus on reaching employees where they are, Eggheads aims to make learning fun, easy, and engaging by delivering bite-sized knowledge in a conversational format. The platform helps improve employee performance, retention, and awareness by providing a more efficient and effective way of training.

Psy.pm is an AI-powered platform offering mental health support through chatbots. Users can chat with AI therapists and psychologists 24/7, receiving confidential and non-judgmental responses. The platform ensures user privacy and control over sessions, with consistent performance and no therapist turnover. Psy.pm aims to empower individuals by reframing negative thoughts and improving mental health.

Cloodot is an omni-channel customer experience management platform that helps businesses manage customer interactions across multiple channels, including Google Business Messages, Facebook, Instagram, WhatsApp, SMS, and webchat. It offers features such as AI-powered quick responses, custom canned replies, automatic summarization of interactions, customer segmentation, and performance analytics. Cloodot also provides review management tools, allowing businesses to collect and respond to reviews from Google My Business and Facebook.

Intellecta is an AI-powered customer experience platform that helps businesses improve their response time, ticket resolution, ad performance, and NPS. It uses GPT models to respond to customer inquiries across various platforms, such as chat, social media, and email. Intellecta also enhances social media presence by automatically liking, replying to comments and DMs, and moderating content to protect brand reputation. Additionally, it provides insights extraction from social networks, email, and chat to help businesses understand customer interactions and identify trends.

UserSense.ai is an AI-powered application designed to supercharge eCommerce stores by providing custom-tailored AI chatbots. The state-of-the-art AI technology is aimed at boosting customer engagement, improving sales, and enhancing the overall shopping experience. UserSense offers consultation, website review, AI creation, integration, and management services to seamlessly transition businesses to AI-powered ecommerce.

EmbedAI is an AI tool designed to enhance websites by enabling JavaScript functionalities. It allows users to embed AI-powered features seamlessly into their web pages, enhancing user experience and interactivity. With EmbedAI, website owners can easily integrate advanced AI capabilities without the need for extensive coding knowledge. The tool streamlines the process of incorporating AI elements, making it accessible to a wider range of users.

The [24]7.ai website offers AI customer service platform products and solutions to enhance customer interactions and contact center operations. Powered by [24]7 Lumos AI, the platform provides tools for conversation automation, omnichannel contact center management, workforce engagement, campaign management, and conversation insights. It also offers services such as CX as a Service, managed customer engagement, analytics, professional services, and learning services. The platform aims to improve customer experience, reduce operating costs, and optimize marketing strategies through AI-powered automation and analytics.

InternGPT (iGPT) is a pointing-language-driven visual interactive system that enhances communication between users and chatbots by incorporating pointing instructions. It improves chatbot accuracy in vision-centric tasks, especially in complex visual scenarios. The system includes an auxiliary control mechanism to enhance the control capability of the language model. InternGPT features a large vision-language model called Husky, fine-tuned for high-quality multi-modal dialogue. Users can interact with ChatGPT by clicking, dragging, and drawing using a pointing device, leading to efficient communication and improved chatbot performance in vision-related tasks.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=