·

Using GPT-4 to deliver a new customer service standard - Databubble

Home
Models
News
Compare
Boards
Pricing
About
Contact

Latest

China vetoes Meta’s $2B Manus deal after months-long probe54m◆OpenAI could be making a phone with AI agents replacing apps1h◆Rebuilding the data stack for AI1h◆Join the new AI Agents Vibe Coding Course from Google and Kaggle1h◆The AI-designed car is taking shape3h◆Meta inks deal for solar power at night, beamed from space4h◆The next phase of the Microsoft OpenAI partnership8h◆From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables10h◆Consequentialist Objectives and Catastrophe10h◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms10h◆A general optimization solver based on OP-to-MaxSAT reduction10h◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation10h◆A Probabilistic Framework for Hierarchical Goal Recognition10h◆CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign Language10h◆The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology10h◆Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem10h◆Learning from Natural Language Feedback for Personalized Question Answering10h◆TS-Arena -- A Live Forecast Pre-Registration Platform10h◆Report for NSF Workshop on AI for Electronic Design Automation10h◆Initial results of the Digital Consciousness Model10h◆China vetoes Meta’s $2B Manus deal after months-long probe54m◆OpenAI could be making a phone with AI agents replacing apps1h◆Rebuilding the data stack for AI1h◆Join the new AI Agents Vibe Coding Course from Google and Kaggle1h◆The AI-designed car is taking shape3h◆Meta inks deal for solar power at night, beamed from space4h◆The next phase of the Microsoft OpenAI partnership8h◆From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables10h◆Consequentialist Objectives and Catastrophe10h◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms10h◆A general optimization solver based on OP-to-MaxSAT reduction10h◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation10h◆A Probabilistic Framework for Hierarchical Goal Recognition10h◆CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign Language10h◆The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology10h◆Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem10h◆Learning from Natural Language Feedback for Personalized Question Answering10h◆TS-Arena -- A Live Forecast Pre-Registration Platform10h◆Report for NSF Workshop on AI for Electronic Design Automation10h◆Initial results of the Digital Consciousness Model10h◆

News/Using GPT-4 to deliver a new customer service standard

openai

PublishedSeptember 5, 2024 at 8:00 AM

Using GPT-4 to deliver a new customer service standard

Source

openai.comfull article ↗

Read on openai→

Publisher summary· verbatim

Ada uses GPT-4 to deliver a new customer service standard

Discussion

Source

↗

openai

Read original ↗All from openai →

No replies yet. Be first.

Source

↗

openai

Read original ↗All from openai →

Related coverage

More from OPENAI

openaiThe next phase of the Microsoft OpenAI partnership8h

Originally published on openai ↗

Home Models News