Meta AI technology page Top Builders

Explore the top contributors showcasing the highest number of Meta AI technology page app submissions within our community.

Meta Platforms

Meta Platforms, Inc., formerly known as Facebook, Inc., is an American multinational technology conglomerate based in Menlo Park, California. The company owns and operates various products and services, including Facebook, Instagram, WhatsApp, Messenger, and Oculus, among others. Meta is one of the world's most valuable companies and is included in the list of the ten largest publicly traded corporations in the United States. It is considered one of the Big Five American information technology companies, alongside Alphabet (Google), Amazon, Apple, and Microsoft.

General
CompanyMeta Platforms, Inc.
FoundedJanuary 4, 2004
HeadquartersMenlo Park, California, U.S.
Area servedWorldwide

Key Products and Services

Meta Platforms offers a wide range of products and services that cater to various user needs. Some of their key products and services include:

  • Facebook: A popular social networking platform that allows users to connect with friends, family, and other people, share updates, photos, and videos, and engage in various online activities.
  • Instagram: A photo and video sharing platform that lets users capture and share moments, apply filters, and interact with others through likes, comments, and direct messages.
  • WhatsApp: A messaging app that allows users to send text messages, make voice and video calls, and share images, documents, and other media with friends and family.
  • Messenger: A messaging platform integrated with Facebook, allowing users to send messages, make voice and video calls, and engage in group chats.
  • Oculus: A virtual reality technology company that develops hardware and software products, including the Oculus Rift and Oculus Quest, providing immersive experiences for gaming, entertainment, and other applications.

Meta AI technology page Hackathon projects

Discover innovative solutions crafted with Meta AI technology page, developed by our community members during our engaging hackathons.

ELIZA EVOL INSTRUCT - Fine-Tuning

ELIZA EVOL INSTRUCT - Fine-Tuning

We attempted to instill the deterministic, rule-based reasoning found in ELIZA into a more advanced, probabilistic model like an LLM. This serves a dual purpose: To introduce a controlled variable in the form of ELIZA's deterministic logic into the more "fuzzy" neural network-based systems. To create a synthetic dataset that can be used for various Natural Language Processing (NLP) tasks, beyond fine-tuning the LLM. [ https://huggingface.co/datasets/MIND-INTERFACES/ELIZA-EVOL-INSTRUCT ] [ https://www.kaggle.com/code/wjburns/pippa-filter/ ] ELIZA Implementation: We implemented the script meticulously retaining its original transformational grammar and keyword matching techniques. Synthetic Data Generation: ELIZA then generated dialogues based on a seed dataset. These dialogues simulated both sides of a conversation and were structured to include the reasoning steps ELIZA took to arrive at its responses. Fine-tuning: This synthetic dataset was then used to fine-tune the LLM. The LLM learned not just the structure of human-like responses but also the deterministic logic that went into crafting those responses. Validation: We subjected the fine-tuned LLM to a series of tests to ensure it had successfully integrated ELIZA's deterministic logic while retaining its ability to generate human-like text. Challenges Dataset Imbalance: During the process, we encountered issues related to data imbalance. Certain ELIZA responses occurred more frequently in the synthetic dataset, risking undue bias. We managed this through rigorous data preprocessing. Complexity Management: Handling two very different types of language modelsโ€”rule-based and neural network-basedโ€”posed its unique set of challenges. Significance This project offers insights into how the strength of classic models like ELIZA can be combined with modern neural network-based systems to produce a model that is both logically rigorous and contextually aware.

Business Llama

Business Llama

๐Ÿ“ฃ Exciting News from Business Llama! ๐Ÿ“ˆ ๐Ÿš€ We're thrilled to introduce "Business Llama: Optimized for Social Engagement," our latest project that's set to transform the way you approach business planning and go-to-market (GTM) strategies. ๐ŸŒŸ ๐Ÿค– With the power of advanced, fine-tuned models, driven by the renowned Clarifai platform, we're taking your business strategies to the next level. Here's what you can expect: ๐ŸŽฏ Enhanced Decision-Making: Make smarter, data-driven decisions that lead to business success. ๐Ÿ“Š Improved Business Plans: Develop robust and realistic plans backed by deep insights. ๐ŸŒ Optimized Go-to-Market Strategies: Reach your target audience more effectively than ever before. ๐Ÿ† Competitive Advantage: Stay ahead in the market by adapting quickly to changing conditions. ๐Ÿ’ฐ Resource Efficiency: Maximize resource allocation and reduce costs. ๐Ÿค Personalization: Tailor your offerings to individual customer preferences. โš™๏ธ Scalability: Apply successful strategies across various products and markets. ๐Ÿ›ก๏ธ Risk Mitigation: Identify and address potential risks proactively. ๐Ÿ”„ Continuous Improvement: Keep your strategies aligned with evolving market conditions. Join us on this journey to elevate your business game! ๐Ÿš€ Stay tuned for updates and exciting insights. The future of business planning and GTM strategies is here, and it's more engaging than ever. ๐ŸŒ๐Ÿ’ผ #BusinessLlama #SocialEngagement #DataDrivenDecisions #Clarifai #GTMStrategies