OpenAI’s Secret Project: “Strawberry” Background and Goals OpenAI, the company behind ChatGPT, is working on a new AI project codenamed “Strawberry,” according to an insider and internal documents reviewed by Reuters. This project, whose details have not been previously reported, aims to showcase advanced reasoning capabilities in OpenAI’s models. The project seeks to enable AI
Building Trust in AI: A Complex Yet Essential Task The Importance of Trust in AI Trust in artificial intelligence (AI) is ultimately what will make or break the technology. AI Trust and Optimism. Amid the hype and excitement of the past 18 months, it’s widely recognized that human beings need to have faith in this
Neo4j Runway and Healthcare Knowledge Graphs Recently, Neo4j Runway was introduced as a tool to simplify the migration of relational data into graph structures. LLMs Turn CSVs into Knowledge Graphs. According to its GitHub page, “Neo4j Runway is a Python library that simplifies the process of migrating your relational data into a graph. It provides
Significant Changes in Context Windows and Token Costs The first significant change in the AI world is the substantial increase in the context window size and the decrease in token costs. For example, the context window size of the largest model, Claude from Anthropic, exceeds 200,000 tokens. According to the latest news, Gemini’s context window
Announced by siliconANGLE’s Duncan Riley. Companies Used YouTube to Train AI. A new report released today reveals that companies such as Anthropic PBC, Nvidia Corp., Apple Inc., and Salesforce Inc. have used subtitles from YouTube videos to train their AI services without obtaining permission. This raises significant ethical questions about the use of publicly available
Is OpenAI (and others) misleading us about the pace of AI improvement? Do GPT 4o lies abound? Is AI excessively hyped, akin to the “NFT moment” that led to a subsequent downturn? Or even the dot com bubble that eventually had to burst? Daily updates on AI developments are a routine part of many AI
In this insight, the focus is on exploring the use of confidence scores available through the OpenAI API. The first section delves into these scores and explains their significance using a custom chat interface. The second section demonstrates how to apply confidence scores programmatically in code. Understanding Confidence Scores To begin, it’s important to understand
Ever-Updating Collection of New Approaches to UI/UX in the AI Era Dials, Knobs, and Sliders Physical knobs, digital sliders, and quadrant “dials” are being used to fine-tune AI responses and inputs. For example, Figma’s new Figma Slides features a novel UX where you can adjust the tone of generated text with a slider. Moving the
‘On-device Agentic AI is Here!’: Salesforce Announces the ‘Tiny Giant’ LLM Salesforce CEO Marc Benioff is excited about the company’s latest innovation in AI, introducing the ‘Tiny Giant’ LLM, which he claims is the world’s top-performing “micro-model” for function-calling. Salesforce’s new slimline “Tiny Giant” LLM reportedly outperforms larger models, marking a significant advancement in on-device
HubSpot recently disclosed a “security incident” where unauthorized access was attempted on several customer accounts. HubSpot is an American software company that provides tools for inbound marketing, sales, and customer service. It was founded in 2006 by Brian Halligan and Dharmesh Shah, and is today best-known for its all-in-one growth platform that helps businesses attract
The Future of AI: Convenience and Risk Our lives are on the brink of being transformed by conversational AI agents designed to anticipate our needs, offer tailored information, and perform useful tasks on our behalf. These agents will rely on extensive personal data, including our interests, hobbies, backgrounds, aspirations, personality traits, and political views, all
For the past 18 months, there has been a focus on why Generative AI (GenAI) poses a disruptive threat to Hollywood. Hollywood’s Fear of AI is entirely reasonable. This insight, most recently detailed in an investor presentation, highlights how GenAI will democratize high production-value video creation and exacerbate the low-end disruption of Hollywood already underway
The AI tech stack integrates various tools, libraries, and solutions to enable applications with generative AI capabilities, such as image and text generation. Key components of the AI stack include programming languages, model providers, large language model (LLM) frameworks, vector databases, operational databases, monitoring and evaluation tools, and deployment solutions. The infrastructure of the AI
The race in generative AI may conclude sooner than anticipated, despite it barely starting for most. Consider the role of generative AI as a supportive assistant, aiding users across dashboards, messaging platforms, and datasets by summarizing documents, chats, and answering queries in natural language. AI Yes Gen AI No. At PegaWorld, significant attention was drawn
Breakthroughs in Language Models: From Word2Vec to Transformers Language models have rapidly evolved since 2018, driven by advancements in neural network architectures for text representation. This journey began with Word2Vec and N-Grams in 2013, followed by the emergence of Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks in 2014. The pivotal moment came
