OpenAI GPT-3.5 AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI GPT-3.5 AI technology app submissions within our community.

OpenAI GPT-3.5

GPT-3.5 is a set of models that improve on GPT-3 and can understand as well as generate natural language or code. It is an autoregressive language model (LLM) from OpenAI that uses deep learning to produce human-like text. It is a fine-tuned version of GPT-3, the third-generation language prediction model in the GPT series created by OpenAI. GPT-3.5 has garnered significant attention and acclaim for its unparalleled ability to understand and generate human-like text. With an astounding 175 billion parameters at its disposal, GPT-3.5 stands as one of the most expansive and powerful language models ever constructed at the time of its release.

GPT-3.5's exceptional performance is not only limited to its sheer size but also stems from its highly refined architecture. Harnessing the power of deep learning, GPT-3.5 delivers consistently accurate and relevant results, elevating the standard for language models and establishing itself as a trailblazer in the field of artificial intelligence.

General
Relese date	March 15, 2022
Author	OpenAI
Type	Autoregressive, Transformer, Language model

Start building with OpenAI GPT-3.5

OpenAI GPT-3 has a rich ecosystem of libraries and resources to help you get started. We have collected the best GPT-3.5 libraries and resources to help you get started to build with GPT-3 today. To see what others are building with GPT-3, check out the community built GPT-3 Use Cases and Applications.

OpenAI GPT-3.5 Tutorials

Chroma Tutorial: How to give GPT-3.5 chatbot memory-like capability

👉 Discover more GPT-3.5 Tutorials on lablab.ai

OpenAI GPT-3.5 Boilerplates

Kickstart your development with a GPT-3.5 based boilerplate. Boilerplates is a great way to headstart when building your next project with GPT-3.

OpenAI GPT-3.5 Libraries

A curated list of libraries and technologies to help you build great projects with GPT-3.5.

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OpenAI GPT-3.5 AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI GPT-3.5 AI technology, developed by our community members during our engaging hackathons.

UNfold AI

This AI agent application integrates with Synapse Copilot to enhance productivity and streamline workflow management. We've incorporated 6 SaaS platforms: Facebook, Asana, Trello, ToDoist, Clockify, and Desk-Zoho, covering social media, project management, task organization, time tracking, and customer support. Our team aims to expand this list to include more diverse SaaS tools in the future. We've developed a user-friendly interface prototype for simplified prompt entry and interaction with the AI agent. We've also implemented audio input functionality for voice-based prompts, increasing accessibility and convenience. While the current architecture is functional, we see potential for significant improvements. Our development roadmap includes enhancing natural language processing, implementing more sophisticated task automation, and leveraging advanced machine learning algorithms to better anticipate user needs. Our focus remains on scalability, robust security measures, and interoperability with existing systems. We aim to create a versatile ecosystem that can evolve alongside technological advancements in AI and SaaS, meeting the changing demands of modern businesses.

FASTrack

• Companies spend an average of $3,864 per hire (Johnson Service Group, 2019). • 75% of hiring professionals lose top talent due to lengthy hiring processes (ManpowerGroup, 2024). ATS tools are widely used to speed up hiring processes. BUT: • 88% of employers find that ATS often miss top talent (Harvard Business Review, 2021). • 37% of employers are dissatisfied with the effectiveness of ATS (TrustRadius, 2021). FASTrack streamlines recruitment using LLMs, helping recruiters and managers quickly pinpoint ideal candidates for specific roles, completely removing the need for manual filtering. Using self-improving AI agents to simulate an HR recruiter, this tool quickly searches extensive résumé databases, intelligently ranking and shortlisting the best candidates for each position. Here's how FASTrack works: 1) Recruiter enters a specific job description – can be detailed or a single sentence. 2) LLM identifies relevant entities and keywords according to the context. 3) AI agent starts searching for additional relevant information related to the extracted entities and keywords. 4) If the AI agent can't find more information in the LLM's knowledge base, especially about new technologies, it looks for details online. 5) AI agent refines search iteratively, gathering relevant information and adjusting search parameters based on information availability. 6) RAG approach is used to conduct multiple searches with all parameters across a vector database of résumés. 7) AI agent stops when sufficient information is gathered or after a set number of iterations. 8) Results are re-ranked against the original job description to improve accuracy. 9) Recruiter finds 10-30 ideal candidates from thousands of applicants in less than a minute. 10) Recruiter can schedule interviews with shortlisted candidates, individually or in groups, using integrated e-mail and calendar tools. This efficient, conversational experience cuts costs by over 90% and reduces recruitment time to days.

Inclusive Education Assistant - IEA

The Inclusive Education Assistant (IEA) app is a groundbreaking solution tailored to the diverse learning needs of students, particularly those with disabilities. By harnessing the advanced capabilities of GPT-4, IEA provides personalized educational support and assistive technologies. Its features include text-to-speech and speech-to-text functions, image recognition and description, video summarization and captioning, as well as adaptive learning algorithms and real-time feedback mechanisms. Moreover, IEA incorporates augmented reality for immersive learning experiences, language translation support, and organizational tools for note-taking and collaboration. The app fosters peer collaboration through shared documents and video conferencing, while also offering teacher and parent dashboards for monitoring progress and providing support. Community forums encourage resource-sharing and mutual assistance among students, parents, and educators. IEA's development prioritizes an intuitive and accessible user interface, ensuring compatibility across various devices. Rigorous testing with diverse user groups guarantees optimal accessibility and usability. The app's launch strategy involves partnerships with educational institutions, special education programs, and advocacy groups to maximize its impact. Comprehensive training sessions empower users to leverage IEA effectively, fostering inclusivity and equity in education. Ultimately, IEA aims to revolutionize the educational landscape by providing equal opportunities for all learners, regardless of their abilities or challenges.

VLM-ARENA

Imagine a groundbreaking experiment setup where iconic Street Fighter characters are brought to life by VLM-controlled systems. In this cutting-edge environment, each player is represented by an advanced AI, seamlessly processing the game screen to make strategic decisions in real-time. This innovative approach offers a deep dive into the VLMs' ability to navigate the fast-paced, high-pressure world of competitive fighting games, revealing their decision-making prowess and adaptability. As these AI-driven warriors clash in the digital arena, we uncover invaluable insights into their performance, pushing the boundaries of what's possible in AI and gaming. This experiment is not just a game-changer; it's a glimpse into the future of interactive entertainment. In an industry already shaken by massive disruptions, with multi-billion dollar releases canceled and studios facing unprecedented layoffs, this AI experiment stands as a beacon of innovation and hope, promising to revolutionize the way we understand and engage with video games. Get ready to witness the dawn of a new era in AI and gaming at the lablab hackathon, where VLMs take the stage and redefine the boundaries of interactive entertainment. This isn't just the future—it's happening now, and it's set to change the game forever!

System for Financial Analysis with ChatGPT 4o

Empowering Financial Analysis with GPT-4.0: In the ever-evolving realm of finance, staying ahead demands innovative tools and strategies. Our system, driven by GPT-4.0, represents a transformative leap in financial analysis. Anchored in a sophisticated multi-agent architecture, comprising specialized entities like the Data Analyst, Trading Strategy, Trading Advisor, Risk Management, and GPT-4.0 Manager, it offers a holistic approach to understanding and navigating financial markets. At its core, GPT-4.0 serves as the orchestrator, facilitating seamless communication and coordination among agents. This enables real-time market analysis, trend identification, dynamic strategy formulation, optimal trade execution planning, risk assessment, and task delegation, all crucial facets of effective financial decision-making. Our technical implementation strategy is meticulously designed, leveraging Python for scripting, Jupyter Notebooks for interactive exploration, financial data APIs for real-time access, and machine learning libraries for predictive analytics. Despite challenges like ensuring data quality and managing real-time processing demands, our system excels, delivering precise insights and empowering users with informed decision-making capabilities. Looking forward, our vision is expansive. We aim to broaden the scope of our system to encompass diverse financial markets and asset classes, leveraging advanced machine learning models to enhance predictive accuracy further. Additionally, we are committed to enhancing the user experience by refining the interface, making it more intuitive and accessible to users of all skill levels. In conclusion, our system represents a paradigm shift in financial analysis, offering unparalleled capabilities driven by GPT-4.0. As we continue to innovate and evolve, we are poised to empower businesses and investors with actionable insights and strategic foresight, enabling them to thrive in an increasingly complex financial landscape.

Harmony

Dive into the realm of cutting-edge Python scripting with our groundbreaking project, a marvel of modern technology and linguistic prowess. Our script ingeniously integrates with YouTube, harnessing its vast repository of videos, or effortlessly processes local video files. Leveraging the Whisper model, it deftly transcribes the audio content, converting spoken words into text with remarkable accuracy and speed. But that's just the beginning of our journey. The true magic unfolds as our script seamlessly bridges language barriers, employing a sophisticated array of translation APIs including M2M100, Google Translate, and the visionary GPT4. This convergence of machine learning and natural language processing heralds a new era of communication, where boundaries dissolve and understanding transcends linguistic limitations. The culmination of this technological symphony is a masterpiece of multimedia artistry: a video adorned with dual subtitles, weaving together the original transcript and its translated counterpart. Witness the fusion of innovation and creativity as our script breathes new life into content, enabling viewers around the globe to experience and engage with media in their native language.