Best AI tools for< Average Models >

Shaped is an AI tool designed to provide relevant recommendations and search results to increase engagement, conversion, and revenue. It offers a configurable system that adapts in real-time, with features such as easy set-up, real-time adaptability, state-of-the-art model library, high customizability, and explainable results. Shaped is suitable for technical teams and offers white-glove support. It specializes in real-time ranking systems and supports multi-modal unstructured data understanding. The tool ensures secure infrastructure and has advantages like increased redemption rate, average order value, and diversity.

Second Brain Labs is a SaaS product that uses artificial intelligence (AI) to help businesses automate their sales and marketing processes. The company's flagship product is a mini-AGI (Artificial General Intelligence) that can be used to create personalized marketing campaigns, generate leads, and provide customer support. Second Brain Labs has a 95% client retention rate and has helped its customers achieve an average of 50X ROI on their marketing campaigns.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Dobb·E is an open-source, general framework for learning household robotic manipulation. It aims to create a 'generalist machine' for homes that can adapt and learn various tasks cost-effectively. Dobb·E can learn a new task in just five minutes of demonstration, thanks to a tool called 'The Stick' for data collection. The system achieved an 81% success rate in completing 109 tasks across 10 homes in New York City. Dobb·E is designed to accelerate research on home robots and make robot assistants a common sight in households.

CSV-GPT is an AI tool that allows users to analyze CSV files instantly using the powerful GPT4 model. It provides a user-friendly interface for a wide range of data analysis tasks, from calculating averages to finding correlations. The tool is designed to streamline the data analysis process and provide accurate insights quickly and efficiently. With CSV-GPT, users can make informed decisions based on data-driven analysis without the need for complex coding or manual calculations.

Talkatoo is a dictation software that uses AI to help veterinarians save time and increase productivity. It offers three levels of control, so you can choose how hands-off you want to be. With Verified, you can simply record your notes and our scribes will verify the accuracy and place them in your PMS for you. With Auto-SOAP Records, you can record an entire exam or dictate your notes after and have Talkatoo auto-magically format the recording into a SOAP note, or other template. With Desktop Dictation, you can dictate in any field, in any app, on Mac or Windows. You can even connect your mobile device as a secure microphone to make the process easier.

Inbenta is a conversational AI platform that offers intelligent automation solutions for customer service, IT helpdesk, marketing & sales, HR, and digital transformation. The platform has been trained over a decade using billions of customer interactions to improve customer experience. Inbenta is trusted by over 1,000 companies globally to lower costs and enhance customer experience through AI automation.

Endorsed is an AI-powered recruiting tool that helps companies review job applications more efficiently and effectively. It integrates with your existing applicant tracking system (ATS) to provide you with a co-pilot that can help you screen and rank candidates, identify top talent, and make better hiring decisions. Endorsed uses machine learning to analyze candidate resumes and applications, and then ranks them based on your specific criteria. This helps you to identify the most qualified candidates quickly and easily, so you can spend less time reviewing applications and more time interviewing the best candidates.

SoulFun is an AI-powered chatbot platform that allows users to chat with virtual companions. These companions are designed to be realistic and engaging, and they can be customized to fit the user's preferences. SoulFun can be used for a variety of purposes, including entertainment, companionship, and language learning.

MagicPost is an AI-powered LinkedIn post generator that helps you save time and create engaging, high-quality posts. With MagicPost, you can turn URLs into posts, get standout posts with the powers of GPT-4 AI and an advanced algorithm, and go live at any time. MagicPost is the perfect tool for anyone who wants to improve their LinkedIn content strategy.

Tagshop is a Full-Funnel UGC Platform for eCommerce that enables video commerce on websites, highlights consumer advocacy, and integrates shoppable UGC into Shopify stores. It offers features like creator collaborations, leveraging authentic opinions, showcasing reviews & ratings, creating desire through real experiences, and driving user actions. Tagshop empowers global eCommerce brands with user-generated content, analytics, and AI to establish trust, enhance engagement, and drive revenue through authentic content galleries curated by smart AI technology.

Optimove is a Customer-Led Marketing Platform that leverages a real-time Customer Data Platform (CDP) to orchestrate personalized multichannel campaigns optimized by AI. It enables businesses to deliver personalized experiences in real-time across various channels such as web, app, and marketing channels. With a focus on customer-led marketing, Optimove helps brands improve customer KPIs through data-driven campaigns and top-tier personalization. The platform offers a range of resources, including industry benchmarks, marketing guides, success stories, and best practices, to help users achieve marketing mastery.

Read AI is an AI-powered application that enhances productivity by generating summaries, transcripts, and highlights for meetings, emails, and messages. It offers features like playback, coaching, smart scheduling, and integrations with various platforms. With multi-language support and secure handling of data, Read AI aims to streamline communication and collaboration for users across different languages and industries.

Read AI is an AI-powered application that enhances productivity by generating summaries, transcripts, and highlights for meetings, emails, and messages. It offers features like real-time meeting summaries, smart scheduler, speaker coach insights, and multi-language support. Read AI helps users save time, improve communication, and stay organized across various platforms. With a focus on security and actionable accountability, it aims to streamline workflows and maximize productivity for knowledge workers.

FitnessAI is an AI-powered fitness app that provides personalized workouts based on 5.9 million workouts. It uses artificial intelligence to optimize sets, reps, and weight for each exercise, making it easy for users to get stronger and faster. FitnessAI is simple to use, with a user-friendly interface and clear workout recommendations. It also tracks progress over time, so users can see how the algorithm is helping them improve. FitnessAI is a great option for anyone looking to get fit or improve their fitness routine.

Proxy is an AI-powered platform that focuses on utility scale renewables projects. It aims to automate renewable energy projects to power communities, businesses, and homes. Proxy provides intelligent financing solutions, project coordination services, and energy market integrations to streamline the process of generating renewable power. As an innovation partner with the U.S. Department of Energy, Proxy is committed to offsetting carbon emissions and making a significant impact on the environment.

Prooftiles is a platform designed to help businesses increase their conversion rate and average order value. It offers a suite of tools and features to optimize sales processes and enhance customer experience. With Prooftiles, businesses can access DocsLM to streamline document management and improve efficiency. The platform also provides pricing information, integrations with other tools, and valuable insights through its blog section.

Autobound.ai is an AI-powered platform that enables users to write hyper-personalized emails 60-120 times faster than the average seller. The platform offers an AI Email Writer that helps in creating hyper-personalized content, finding and exporting leads, and providing A+ email suggestions on the fly. Autobound also features AI-powered sequencing, personalization API, and a 'Write with AI' button for effortless email drafting. The platform revolutionizes personalized messaging by combining expansive datasets to transform contacts into connections.

Permar is an AI-powered website optimization tool that helps businesses increase their conversion rates. It uses reinforcement learning techniques to dynamically adapt website optimization, resulting in an average uplift in conversion rates of 10-12% compared to static A/B tests. Permar also offers a complete toolkit of features to help businesses create high-converting landing pages, including dynamic A/B testing, real-time optimization, and growth experiment ideas.

Unbounce is an AI-powered landing page creation and optimization platform that helps businesses convert more visitors into leads, sales, and signups. With Unbounce, you can create custom landing pages twice as fast as old-school builders and get way better results. Unbounce also offers AI copywriting tools that can instantly generate, remix, and expand content for anything—like landing pages, ads, emails—in seconds. And with Unbounce's Smart Traffic feature, you can improve your results with the click of a button. Unbounce routes your visitors to the best landing page for people like them and—on average—gets you 30% more sales and signups.

Mergekit is a toolkit for merging pre-trained language models. It uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.

The Neutone SDK is a tool designed for researchers to wrap their own audio models and run them in a DAW using the Neutone Plugin. It simplifies the process by allowing models to be built using PyTorch and minimal Python code, eliminating the need for extensive C++ knowledge. The SDK provides support for buffering inputs and outputs, sample rate conversion, and profiling tools for model performance testing. It also offers examples, notebooks, and a submission process for sharing models with the community.

Large Language Models Play StarCraft II is a project that explores the capabilities of large language models (LLMs) in playing the game StarCraft II. The project introduces TextStarCraft II, a textual environment for the game, and a Chain of Summarization method for analyzing game information and making strategic decisions. Through experiments, the project demonstrates that LLM agents can defeat the built-in AI at a challenging difficulty level. The project provides benchmarks and a summarization approach to enhance strategic planning and interpretability in StarCraft II gameplay.

This leaderboard evaluates the hallucination rate of various Large Language Models (LLMs) when summarizing documents. It uses a model trained by Vectara to detect hallucinations in LLM outputs. The leaderboard includes models from OpenAI, Anthropic, Google, Microsoft, Amazon, and others. The evaluation is based on 831 documents that were summarized by all the models. The leaderboard shows the hallucination rate, factual consistency rate, answer rate, and average summary length for each model.

Turtle Benchmark is a novel and cheat-proof benchmark test used to evaluate large language models (LLMs). It is based on the Turtle Soup game, focusing on logical reasoning and context understanding abilities. The benchmark does not require background knowledge or model memory, providing all necessary information for judgment from stories under 200 words. The results are objective and unbiased, quantifiable as correct/incorrect/unknown, and impossible to cheat due to using real user-generated questions and dynamic data generation during online gameplay.

This repository, LLaVA++, extends the visual capabilities of the LLaVA 1.5 model by incorporating the latest LLMs, Phi-3 Mini Instruct 3.8B, and LLaMA-3 Instruct 8B. It provides various models for instruction-following LMMS and academic-task-oriented datasets, along with training scripts for Phi-3-V and LLaMA-3-V. The repository also includes installation instructions and acknowledgments to related open-source contributions.

The worker-vLLM repository provides a serverless endpoint for deploying OpenAI-compatible vLLM models with blazing-fast performance. It supports deploying various model architectures, such as Aquila, Baichuan, BLOOM, ChatGLM, Command-R, DBRX, DeciLM, Falcon, Gemma, GPT-2, GPT BigCode, GPT-J, GPT-NeoX, InternLM, Jais, LLaMA, MiniCPM, Mistral, Mixtral, MPT, OLMo, OPT, Orion, Phi, Phi-3, Qwen, Qwen2, Qwen2MoE, StableLM, Starcoder2, Xverse, and Yi. Users can deploy models using pre-built Docker images or build custom images with specified arguments. The repository also supports OpenAI compatibility for chat completions, completions, and models, with customizable input parameters. Users can modify their OpenAI codebase to use the deployed vLLM worker and access a list of available models for deployment.

BABILong is a generative benchmark designed to evaluate the performance of NLP models in processing long documents with distributed facts. It consists of 20 tasks that simulate interactions between characters and objects in various locations, requiring models to distinguish important information from irrelevant details. The tasks vary in complexity and reasoning aspects, with test samples potentially containing millions of tokens. The benchmark aims to challenge and assess the capabilities of Large Language Models (LLMs) in handling complex, long-context information.

Arena-Hard-Auto-v0.1 is an automatic evaluation tool for instruction-tuned LLMs. It contains 500 challenging user queries. The tool prompts GPT-4-Turbo as a judge to compare models' responses against a baseline model (default: GPT-4-0314). Arena-Hard-Auto employs an automatic judge as a cheaper and faster approximator to human preference. It has the highest correlation and separability to Chatbot Arena among popular open-ended LLM benchmarks. Users can evaluate their models' performance on Chatbot Arena by using Arena-Hard-Auto.

LLM-Pruner is a tool for structural pruning of large language models, allowing task-agnostic compression while retaining multi-task solving ability. It supports automatic structural pruning of various LLMs with minimal human effort. The tool is efficient, requiring only 3 minutes for pruning and 3 hours for post-training. Supported LLMs include Llama-3.1, Llama-3, Llama-2, LLaMA, BLOOM, Vicuna, and Baichuan. Updates include support for new LLMs like GQA and BLOOM, as well as fine-tuning results achieving high accuracy. The tool provides step-by-step instructions for pruning, post-training, and evaluation, along with a Gradio interface for text generation. Limitations include issues with generating repetitive or nonsensical tokens in compressed models and manual operations for certain models.

AIMET is a library that provides advanced model quantization and compression techniques for trained neural network models. It provides features that have been proven to improve run-time performance of deep learning neural network models with lower compute and memory requirements and minimal impact to task accuracy. AIMET is designed to work with PyTorch, TensorFlow and ONNX models. We also host the AIMET Model Zoo - a collection of popular neural network models optimized for 8-bit inference. We also provide recipes for users to quantize floating point models using AIMET.

Firefly is an open-source large model training project that supports pre-training, fine-tuning, and DPO of mainstream large models. It includes models like Llama3, Gemma, Qwen1.5, MiniCPM, Llama, InternLM, Baichuan, ChatGLM, Yi, Deepseek, Qwen, Orion, Ziya, Xverse, Mistral, Mixtral-8x7B, Zephyr, Vicuna, Bloom, etc. The project supports full-parameter training, LoRA, QLoRA efficient training, and various tasks such as pre-training, SFT, and DPO. Suitable for users with limited training resources, QLoRA is recommended for fine-tuning instructions. The project has achieved good results on the Open LLM Leaderboard with QLoRA training process validation. The latest version has significant updates and adaptations for different chat model templates.

Xwin-LM is a powerful and stable open-source tool for aligning large language models, offering various alignment technologies like supervised fine-tuning, reward models, reject sampling, and reinforcement learning from human feedback. It has achieved top rankings in benchmarks like AlpacaEval and surpassed GPT-4. The tool is continuously updated with new models and features.

WildBench is a tool designed for benchmarking Large Language Models (LLMs) with challenging tasks sourced from real users in the wild. It provides a platform for evaluating the performance of various models on a range of tasks. Users can easily add new models to the benchmark by following the provided guidelines. The tool supports models from Hugging Face and other APIs, allowing for comprehensive evaluation and comparison. WildBench facilitates running inference and evaluation scripts, enabling users to contribute to the benchmark and collaborate on improving model performance.

CLadder is a repository containing the CLadder dataset for evaluating causal reasoning in language models. The dataset consists of yes/no questions in natural language that require statistical and causal inference to answer. It includes fields such as question_id, given_info, question, answer, reasoning, and metadata like query_type and rung. The dataset also provides prompts for evaluating language models and example questions with associated reasoning steps. Additionally, it offers dataset statistics, data variants, and code setup instructions for using the repository.

TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.

This repository contains the code and data for the paper 'Vision Language Models Are Blind'. It explores the limitations of large language models with vision capabilities (VLMs) in performing basic visual tasks that are easy for humans. The repository presents benchmark results showcasing the poor performance of state-of-the-art VLMs on tasks like counting line intersections, identifying circles, letters, and shapes, and following color-coded paths. The research highlights the challenges faced by VLMs in understanding visual information accurately, drawing parallels to myopia and blindness in human vision.

ProbSem is a repository that provides a framework to leverage large language models (LLMs) for assigning context-conditional probability distributions over queried strings. It supports OpenAI engines and HuggingFace CausalLM models, and is flexible for research applications in linguistics, cognitive science, program synthesis, and NLP. Users can define prompts, contexts, and queries to derive probability distributions over possible completions, enabling tasks like cloze completion, multiple-choice QA, semantic parsing, and code completion. The repository offers CLI and API interfaces for evaluation, with options to customize models, normalize scores, and adjust temperature for probability distributions.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

A humorous take on a Reddit moderator, full of playful stereotypes.

Cynical user skeptical about tech and AI.

GYM Guide: Ask about any exercise, and I'll give recommended lifting weights for personalized muscle growth!

Average score from Metacritic, Rotten Tomatoes, IMDB, TMDB for any movie or series.

Ask for the average daily petrol price for any state or capital city region in Australia!

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A replacement to your Product Manager, Engineering Manager, and your Average Developer and Tester

Sarcastic culinary savant

Experto en fórmulas y medidas de Microsoft Excel y Power BI y códigos en VBA

Versatile and professional tool for GPA calculations.

An agent to help write Notion database formulas.

Writes Quickbase formulas

Text-based Excel assistant, provides table results as text only

Professional analyzer of stock charts image with factual and concise interpretations.