Brian Platz’s Post

"We’re currently in the AI trough of disillusionment. The thing that will get us out isn’t a better model. Rather, it’s sorting, organizing, interconnecting, updating, and rendering safe the data that AI models so intelligently process." Fluree CEO Brian Platz shares his thoughts on Interconnected Data as the missing link to making AI useful in his newest Forbes Technology Council piece. Read more below: https://lnkd.in/e5nuCGSE #ai #trustedai #trusteddata

Vector database is not new just like AI. It seems to be in trend now thanks to ChatGPT/LLM. “…Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical representations that capture the meaning and relationships between the different data points. This is perfect for machine learning, as the database stores data spatially by how relevant each item is to the other, making it easier to retrieve semantically similar data…”. #ai #strategy #technology

Are you ready to revolutionize your AI model evaluation process? Check out Giskard's groundbreaking open-source framework that ensures your models are production-ready before they're pushed out. Say goodbye to costly mistakes and hello to optimized efficiency. Don't miss this game-changing solution! #AI #AIModels #OpenSource #TechNews https://lnkd.in/dA9hwYY8

Top 10 AI Stories of 2023: A Year of AI Advancements and Concerns https://flip.it/LP_ozh

Today, I am excited to share an article that has caught my attention as it aligns with our ongoing exploration of AI at Viseven.    Lately, my team and I have been immersed in innovative projects, one of which is particularly close to my heart — the development and deployment of an internal AI bot for our company.    It's been a firsthand exploration of the capabilities and, at times, the challenges associated with large language models. We understand that LLMs can be inconsistent, and we always learn together with our models 😅    Anyways, take a look at this article by IBM, it's very insightful! https://lnkd.in/e3rP4SBY #llm #languagemodels #aibots

Retrieval-augmented generation (RAG) is an AI framework for improving the quality of LLM-generated responses by grounding the model on external sources. The LLMs know how words relate statistically, but not what they mean. RAG allows LLMs to build on a specialized body of knowledge to answer questions in more accurate way. https://lnkd.in/djbA6SYM

CAST AI today added a feature to detect which large language model (LLM) is being used to drive an artificial intelligence (AI) application, and then recommend and install an alternative inference engine that is less expensive to run.

🚀 AI Revolution Just Leveled Up! 🧠 Big news from the tech world: Mistral's CEO has just spilled the beans on their latest creation - an open-source AI model that's giving GPT-4 a run for its money! 🤖💥 This innovation not only promises to democratize AI development but also marks a significant leap towards more accessible, high-performance AI technologies. Dive into the full scoop and see how this game-changer is set to reshape the AI landscape. Read more here: https://lnkd.in/eTG--P9m #AI #Innovation #OpenSource #Technology #FutureOfWork

An interesting read: 🔹Databricks Unveils DBRX: Databricks introduces DBRX, a groundbreaking natural language model (NLM) that outperforms industry giants like Meta's Llama 2-70B and OpenAI's GPT-3.5. With its innovative "mixture-of-experts" design, DBRX optimizes efficiency for enterprise applications, boasting 132 billion parameters but utilizing only 36 billion at a time. 🔹 Ethical Dilemmas of Personal AI: Delve into the ethical implications of personal AI with insights from the Talk to Your Ex app, raising questions about privacy and emotional well-being. As personal AI continues to evolve, boundaries and considerations regarding data usage become increasingly crucial. 🔹 ChatGPT's Rising Popularity: ChatGPT's prominence is on the rise, particularly among younger demographics and within workplace environments. However, trust in AI-generated information, particularly concerning critical topics like elections, remains a challenge, as highlighted by a recent Pew survey.