Summary: ChatGPT and Bard were rated as more helpful and trustworthy than Bing Chat in a diary study evaluating the three generative-AI bots. Bing Chat’s less favorable ratings were attributed to its richer yet imperfect user interface and poorer information aggregation capabilities.
Summary: Participants rated Bing Chat as less helpful and trustworthy than ChatGPT or Bard. These results can be attributed to Bing’s richer yet imperfect UI and its poorer information aggregation.
One of the benefits of generative-AI bots is that they save users the effort of searching for information themselves. They aggregate relevant information from various sources, making it easier for users to find what they need.
In a diary study that involved three bots, we discovered that people overwhelmingly found the conversations with these bots to be highly helpful and trustworthy. However, there were some discrepancies in the ratings for the three bots, which can be explained by their differing capacities and interfaces.
Our Research:
Action Items:
1. Conduct further research on the interface and information aggregation capabilities of ChatGPT, Bard, and Bing Chat to gain a deeper understanding of the differences mentioned in the meeting notes.
2. Analyze user feedback and ratings for ChatGPT, Bard, and Bing Chat to identify specific areas where improvements can be made.
3. Collaborate with the UI/UX team to address any issues related to Bing Chat’s user interface, aiming to make it more user-friendly and intuitive.
4. Explore ways to enhance Bing Chat’s information aggregation process to improve its effectiveness and accuracy.
5. Schedule a meeting with the development team to discuss potential updates or new features that can bridge any gaps and address the shortcomings highlighted in the meeting notes.
Assignments:
1. Research task (Action Item 1) – Assigned to [Researcher]
2. User feedback analysis (Action Item 2) – Assigned to [Data Analyst]
3. UI/UX improvements (Action Item 3) – Assigned to [UI/UX Designer]
4. Information aggregation enhancement (Action Item 4) – Assigned to [Development Team Lead]
5. Meeting scheduling and follow-up (Action Item 5) – Assigned to [Executive Assistant]Please review and let me know if any adjustments or clarifications are needed.
List of Useful Links:
AI Products for Business or Custom Development
AI Sales Bot
Welcome AI Sales Bot, your 24/7 teammate! Engaging customers in natural language across all channels and learning from your materials, it’s a step towards efficient, enriched customer interactions and sales
AI Document Assistant
Unlock insights and drive decisions with our AI Insights Suite. Indexing your documents and data, it provides smart, AI-driven decision support, enhancing your productivity and decision-making.
AI Customer Support
Upgrade your support with our AI Assistant, reducing response times and personalizing interactions by analyzing documents and past engagements. Boost your team and customer satisfaction
AI Scrum Bot
Enhance agile management with our AI Scrum Bot, it helps to organize retrospectives. It answers queries and boosts collaboration and efficiency in your scrum processes.
AI Agents
AI news and solutions
-
CMU & Google DeepMind Researchers Introduce AlignProp: A Direct Backpropagation-Based AI Approach to Finetune Text-to-Image Diffusion Models for Desired Reward Function
The paper discusses the emergence of text-to-image diffusion models for image generation. It introduces “AlignProp,” a method to align diffusion models with reward functions through backpropagation during the denoising process. AlignProp outperforms alternative methods in optimizing…
-
The US government moves to further restrict tech exports to China
The US government plans to implement additional sanctions to prevent American chipmakers from circumventing export restrictions on AI chips going to China. The upcoming regulations will close loopholes that allowed Chinese companies to obtain specialized AI…
-
Another researcher identifies singed text from the Herculaneum scrolls
Ancient scrolls from Herculaneum, buried for centuries, have started to reveal their secrets. Using AI technology, a computer science student and a data science graduate have made breakthroughs in deciphering the charred papyrus. They have identified…
-
How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints
Veriff is an identity verification platform partner for organizations in various industries. They use advanced technology, including AI-powered automation and human feedback, to verify user identities. Veriff standardized their model deployment workflow using Amazon SageMaker, reducing…
-
Carbon Emissions of an ML Engineering Team
This text discusses the significance of the hidden costs of development. It emphasizes the importance of recognizing and considering these costs in order to ensure accurate decision-making and successful project outcomes.
-
Unlocking AI Transparency: How Anthropic’s Feature Grouping Enhances Neural Network Interpretability
Researchers have developed a new framework using sparse autoencoders to make neural network models more understandable. The framework identifies interpretable features within the models, addressing the challenge of interpretability at the individual neuron level. The researchers…
-
From 2D to 3D: Enhancing Text-to-3D Generation Consistency with Aligned Geometric Priors
Researchers have developed a method called SweetDreamer to address the issue of geometric inconsistency in converting 2D images to 3D objects for text-to-3D generation. This method aligns 2D geometric priors with well-defined 3D shapes to ensure…
-
Using Clarifai’s native Vector Database
Discover the advantages and key factors to consider when selecting a vector database for your application.
-
Ant-Inspired Neural Network Boosts Robot Navigation
Researchers from the Universities of Edinburgh and Sheffield are creating an artificial neural network inspired by ants to assist robots in identifying and recalling paths in intricate natural surroundings.
-
Researchers jailbreak GPT-4 using low-resource languages
The latest research from Brown University reveals that using low-resource languages (LRL) like Zulu or Scots Gaelic can cause GPT-4, an AI model, to produce unsafe responses, despite its alignment guardrails. When prompted in these languages,…
-
Meet LLMWare: An All-in-One Artificial Intelligence Framework for Streamlining LLM-based Application Development for Generative AI Applications
Ai Bloks has introduced LLMWare, an open-source library for developing enterprise applications based on Large Language Models (LLMs). The framework provides a unified development environment, wide model and platform support, scalability, and examples for developers of…
-
Mastering the Future: Evaluating LLM-Generated Data Architectures leveraging IaC technologies
The article discusses the suitability of Large Language Models (LLMs) for generating Infrastructure as Code (IaC) to provision, configure, and deploy modern applications. It explores the benefits of IaC solutions and the risks of vendor locking.…
-
Selecting the Right RLHF Platform in 2023
Companies are exploring ways to incorporate AI solutions into their business operations as the technology becomes more widespread and intricate. Selecting the appropriate RLHF platform in 2023 is crucial for leveraging AI effectively in their journey…
-
US Tightens Rules on Chip Sales to China to Curb AI Development
The United States will introduce new rules to make it more difficult for China to obtain advanced chipsets for artificial intelligence (AI). These rules aim to prevent China from exploiting any remaining loopholes and limit the…
-
Can Language Models Replace Programmers? Researchers from Princeton and the University of Chicago Introduce SWE-bench: An Evaluation Framework that Tests Machine Learning Models on Solving Real Issues from GitHub
The SWE-bench evaluation framework, developed by researchers from Princeton University and the University of Chicago, focuses on assessing the ability of language models (LMs) to solve real-world software engineering challenges. The findings reveal that even advanced…
-
Adobe previews generative AI for editing video and audio
Adobe showcased experimental generative AI tools for video and audio editing at its Adobe Max conference. Project Fast Fill allows editors to easily add or remove elements in video scenes using text prompts, while Project Scene…
-
NVIDIA AI Unveils SteerLM: A New Artificial Intelligence Method that Allows Users to Customize the Responses of Large Language Models (LLMs) During Inference
NVIDIA Research has introduced SteerLM, a groundbreaking technique that enables users to customize the responses of large language models (LLMs). SteerLM simplifies the customization process through a four-step supervised fine-tuning process, allowing users to define key…
-
Google Quantum AI Presents 3 Case Studies to Explore Quantum Computing Applications Related to Pharmacology, Chemistry, and Nuclear Energy
Google Quantum AI is conducting collaborative research to identify problems where quantum computers outperform classical ones and design practical quantum algorithms. Recent endeavors involve studying enzyme chemistry, exploring alternatives for lithium-ion batteries, and modeling materials for…
-
Meet MindGPT: A Non-Invasive Neural Decoder that Interprets Perceived Visual Stimuli into Natural Languages from fMRI Signals
Scientists at Zhejiang University have developed MindGPT, a non-invasive neural language decoder that can convert brain activity patterns produced by visual stimuli into well-formed word sequences. This technology has the potential to illuminate cross-modal semantic integration…
-
Meet Decaf: a Novel Artificial Intelligence Monocular Deformation Capture Framework for Face and Hand Interactions
The article introduces a novel method called Decaf, which captures face and hand interactions and facial deformations using monocular RGB videos. It addresses challenges such as depth ambiguity and lack of training datasets for non-rigid deformations.…