Best AI tools for< Conduct Research On Llms >

Exa is a search engine that uses embeddings-based search to retrieve the best content on the web. It is trusted by companies and developers from all over the world. Exa is like Google, but it is better at understanding the meaning of your queries and returning results that are more relevant to your needs. Exa can be used for a variety of tasks, including finding information on the web, conducting research, and building AI applications.

SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.

Profundo is an AI-powered research assistant that automates data collection, analysis, and reporting. It enables users to conduct in-depth research on various topics efficiently and accurately. With cutting-edge AI algorithms, Profundo minimizes errors, maximizes productivity, and provides user-friendly interface for seamless integration with existing tools. Trusted by professionals, Profundo is used for self-study, content creation, academic research, industry analysis, and more.

The Research Center Trustworthy Data Science and Security is a hub for interdisciplinary research focusing on building trust in artificial intelligence, machine learning, and cyber security. The center aims to develop trustworthy intelligent systems through research in trustworthy data analytics, explainable machine learning, and privacy-aware algorithms. By addressing the intersection of technological progress and social acceptance, the center seeks to enable private citizens to understand and trust technology in safety-critical applications.

Growth Makers is an AI-powered marketing team that helps businesses grow through growth hacking and marketing strategies. The AI assistants are trained to find clever ways to achieve explosive growth quickly. They perform in-depth research on your target audience, market, USP, UVP, keywords, landing page, pricing, and more to craft winning marketing strategies. Growth Makers can also create blogs and social media content, build a consistent content calendar, conduct competitive keyword research, analyze audience response to refine content strategies, identify hidden growth channels, and make data-driven decisions based on Google Analytics metrics.

Google Research is a leading research organization focusing on advancing science and artificial intelligence. They conduct research in various domains such as AI/ML foundations, responsible human-centric technology, science & societal impact, computing paradigms, and algorithms & optimization. Google Research aims to create an environment for diverse research across different time scales and levels of risk, driving advancements in computer science through fundamental and applied research. They publish hundreds of research papers annually, collaborate with the academic community, and work on projects that impact technology used by billions of people worldwide.

DMLR (Data-centric Machine Learning Research) is an AI tool that focuses on advancing research in data-centric machine learning. It organizes workshops, research retreats, maintains a journal, and runs a working group to support infrastructure projects. The platform covers topics such as data collection, governance, bias, and drifts, as well as data-centric explainable AI and AI alignment. DMLR encourages submissions around the theme of AI for Science, using AI to tackle scientific challenges and accelerate discoveries.

The C3.ai Digital Transformation Institute is a research consortium focused on accelerating the benefits of artificial intelligence for business, government, and society. It engages leading scientists in research related to the Science of Digital Transformation, which encompasses artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics. Established in March 2020, the institute consists of prominent institutions such as C3 AI, Microsoft Corporation, and various universities. The institute aims to drive innovation and collaboration in the field of AI and digital transformation.

The Berkeley Artificial Intelligence Research (BAIR) Lab is a renowned research lab at UC Berkeley focusing on computer vision, machine learning, natural language processing, planning, control, and robotics. With over 50 faculty members and 300 graduate students, BAIR conducts research on fundamental advances in AI and interdisciplinary themes like multi-modal deep learning and human-compatible AI.

PromptLoop is an AI-powered web scraping and data extraction platform that allows users to run AI automation tasks on lists of data with a simple file upload. It enables users to crawl company websites, categorize entities, and conduct research tasks at a fraction of the cost of other alternatives. By leveraging unique company data from spreadsheets, PromptLoop enables the creation of custom AI models tailored to specific needs, facilitating the extraction of valuable insights from complex information.

Promptchan is a mobile AI girl generator that allows users to create their own custom AI girl. Users can choose from a variety of templates and customize their girl's appearance, personality, and interests. Promptchan also allows users to chat with their girl and ask her questions. The app is designed to be fun and easy to use, and it is a great way to learn about AI.

The Center for AI Safety (CAIS) is a research and field-building nonprofit organization based in San Francisco. They conduct impactful research, advocacy projects, and provide resources to reduce societal-scale risks associated with artificial intelligence (AI). CAIS focuses on technical AI safety research, field-building projects, and offers a compute cluster for AI/ML safety projects. They aim to develop and use AI safely to benefit society, addressing inherent risks and advocating for safety standards.

The Frontier Model Forum (FMF) is a collaborative effort among leading AI companies to advance AI safety and responsibility. The FMF brings together technical and operational expertise to identify best practices, conduct research, and support the development of AI applications that meet society's most pressing needs. The FMF's core objectives include advancing AI safety research, identifying best practices, collaborating across sectors, and helping AI meet society's greatest challenges.

Cognosys is an AI-powered assistant that helps you simplify your workflows and automate tasks. With Cognosys, you can hand off tasks to AI Agents, so you can concentrate on what really matters. Cognosys can do more than answer questions. It's capable of breaking down complex objectives by creating tasks for itself and accomplishing them autonomously.

YOMO is an AI-powered platform designed to help product teams build products that boost revenue and reduce churn. It offers a suite of tools for collecting feedback, conducting research, collaborating, and organizing information. YOMO leverages AI to provide automated insights, prioritize feedback, and uncover user needs and desires. The platform aims to streamline product development processes and empower teams to make data-driven decisions.

CCDS (Center for Computational & Data Sciences) is a research center at Independent University Bangladesh dedicated to artificial intelligence, data sciences, and computational science. The center has various wings focusing on AI, computational biology, physics, data science, human-computer interaction, and industry partnerships. CCDS explores the use of computation to understand nature and society, uncover hidden stories in data, and tackle complex challenges. The center collaborates with institutions like CERN and the Dunlap Institute for Astronomy and Astrophysics.

Aadhunik.ai is an upcoming AI tool that aims to unlock the wonders of tomorrow. The website is designed to showcase the evolution of AI and its potential applications. With a focus on innovation and cutting-edge technology, Aadhunik.ai is set to revolutionize various industries and enhance productivity. Stay tuned for the launch of this exciting platform!

SpiderX AI is an advanced AI platform offering a range of AI agents for various industries such as recruitment, customer service, automotive sales, research, restaurant booking, and event management. The platform provides specialized AI solutions to streamline processes, enhance customer experiences, and optimize operations. With a focus on efficiency and precision, SpiderX AI's agents are designed to solve complex problems and deliver insights with unrivaled expertise.

AI at Wharton is a dedicated AI research center at the Wharton School, University of Pennsylvania. It fosters, coordinates, and promotes AI activities, focusing on designing algorithms to improve business processes and human behavior. The center collaborates with industry leaders and Chief Data Officers to develop frameworks for responsible AI adoption, aiming to maximize AI value for businesses. Through research, events, and publications, AI at Wharton explores the transformative potential of AI in various fields and industries.

Tübingen AI Center is a thriving hub for European AI, hosted by the Eberhard Karls University of Tübingen in cooperation with the Max Planck Institute for Intelligent Systems. It comprises 20 world-class machine learning research groups with more than 300 PhD students and Postdocs. The center fosters AI talents by offering education and hands-on experience from elementary school onwards. The Machine Learning Cloud at Tübingen AI Center provides cutting-edge AI research infrastructure, supporting collaborative work and large-scale simulations in ML. Funded by the Federal Ministry of Education and Research and the Ministry of Science, Research and Arts Baden-Württemberg.

The Awesome-LLM-Post-training repository is a curated collection of influential papers, code implementations, benchmarks, and resources related to Large Language Models (LLMs) Post-Training Methodologies. It covers various aspects of LLMs, including reasoning, decision-making, reinforcement learning, reward learning, policy optimization, explainability, multimodal agents, benchmarks, tutorials, libraries, and implementations. The repository aims to provide a comprehensive overview and resources for researchers and practitioners interested in advancing LLM technologies.

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. It can produce detailed, factual, and unbiased research reports with customization options. The tool addresses issues of speed, determinism, and reliability by leveraging parallelized agent work. The main idea involves running 'planner' and 'execution' agents to generate research questions, seek related information, and create research reports. GPT Researcher optimizes costs and completes tasks in around 3 minutes. Features include generating long research reports, aggregating web sources, an easy-to-use web interface, scraping web sources, and exporting reports to various formats.

Open Deep Research is an open-source project that serves as a clone of Open AI's Deep Research experiment. It utilizes Firecrawl's extract and search method along with a reasoning model to conduct in-depth research on the web. The project features Firecrawl Search + Extract, real-time data feeding to AI via search, structured data extraction from multiple websites, Next.js App Router for advanced routing, React Server Components and Server Actions for server-side rendering, AI SDK for generating text and structured objects, support for various model providers, styling with Tailwind CSS, data persistence with Vercel Postgres and Blob, and simple and secure authentication with NextAuth.js.

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.

SLMs-Survey is a comprehensive repository that includes papers and surveys on small language models. It covers topics such as technology, on-device applications, efficiency, enhancements for LLMs, and trustworthiness. The repository provides a detailed overview of existing SLMs, their architecture, enhancements, and specific applications in various domains. It also includes information on SLM deployment optimization techniques and the synergy between SLMs and LLMs.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

LLM4AD is an open-source Python-based platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). It provides unified interfaces for methods, tasks, and LLMs, along with features like evaluation acceleration, secure evaluation, logs, GUI support, and more. The platform was originally developed for optimization tasks but is versatile enough to be used in other areas such as machine learning, science discovery, game theory, and engineering design. It offers various search methods and algorithm design tasks across different domains. LLM4AD supports remote LLM API, local HuggingFace LLM deployment, and custom LLM interfaces. The project is licensed under the MIT License and welcomes contributions, collaborations, and issue reports.

AI-Writer is an AI content generation toolkit called Alwrity that automates and enhances the process of blog creation, optimization, and management. It integrates advanced AI models for text generation, image creation, and data analysis, offering features such as online research integration, long-form content generation, AI content planning, multilingual support, prevention of AI hallucinations, multimodal content generation, SEO optimization, and integration with platforms like Wordpress and Jekyll. The toolkit is designed for automated blog management and requires appropriate API keys and access credentials for full functionality.

Awesome LLM is a curated list of resources related to Large Language Models (LLMs), including models, projects, datasets, benchmarks, materials, papers, posts, GitHub repositories, HuggingFace repositories, and reading materials. It provides detailed information on various LLMs, their parameter sizes, announcement dates, and contributors. The repository covers a wide range of LLM-related topics and serves as a valuable resource for researchers, developers, and enthusiasts interested in the field of natural language processing and artificial intelligence.

LetMeDoIt AI is a virtual assistant designed to revolutionize the way you work. It goes beyond being a mere chatbot by offering a unique and powerful capability - the ability to execute commands and perform computing tasks on your behalf. With LetMeDoIt AI, you can access OpenAI ChatGPT-4, Google Gemini Pro, and Microsoft AutoGen, local LLMs, all in one place, to enhance your productivity.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

SLAM-LLM is a deep learning toolkit for training custom multimodal large language models (MLLM) focusing on speech, language, audio, and music processing. It provides detailed recipes for training and high-performance checkpoints for inference. The toolkit supports various tasks such as automatic speech recognition (ASR), text-to-speech (TTS), visual speech recognition (VSR), automated audio captioning (AAC), spatial audio understanding, and music caption (MC). Users can easily extend to new models and tasks, utilize mixed precision training for faster training with less GPU memory, and perform multi-GPU training with data and model parallelism. Configuration is flexible based on Hydra and dataclass, allowing different configuration methods.

Expert in self-assembling space architecture, focusing on TESSERAE.

Guiding inquiries into a society founded on the principles of consent and voluntary interactions.

Direct, insightful EEG and neurofeedback analysis specialist.

Leading-edge Urban Ag Expert, blending accuracy with approachability. Powered by OpenAI.

Consultant GPT pour cardiologues, expert en évaluation échocardiographique des valves cardiaques et des prothèses valvulaires.

An expert in Anthropology, leveraging extensive knowledge.

A UX research assistant focused solely on UX research and design.

Korean report writing assistant, focused on data and research.

Expert on 'The Miles Paper', focusing on specimen anatomy.

Assists with thesis on SMEs and tech adoption during COVID-19.

Provide OSINT report on a Person/Company

The evolutionary psychologist answers questions based on academic sources

GPT aiding on DSM-5-TR psychological assessment, search, debate and analysis. With educational purpose, of course.

Expert on psychological, information, and cognitive warfare.

Constructive advisor in educational strategies, focusing on inverse reasoning and DDD.

Experto en educación y evaluación de aprendizajes. Parte de equipo de investigación del proyecto MEICCA

A professional PHD from Harvard who studies gender and sexuality in science fiction.

Your go-to AI consultant for building a startup. Detailed reports on Business Viability, Market Research & Analysis, Launching & Scaling, Funding Prospects, and more.

UX Design, UX Architecture & User Research Expert with a focus on collaborative, user-centered methods and achieving business goals.

Up-to-date on digital economy terms.