This morning I tried using voice to ask ChatGPT to get some football scores from the web, as now it has all the features baked in. Seemed like it was working, but then I checked the transcript.
APPS
-
Voice Clone Partnership with ElevenLabs Announced
By
–
Yeah the voice clone too, they partnered with Elevenlabs.
-
Building Email Bots with LLM Technology at H2O GenAI World
By
–
"Never reply to an email again!" Luiz Pizzato, Executive Manager #AI at @CommBank walked the audience through how to build their own email bot using #LLM. #H2OGenAIWorld
-
OpenAI’s New Seed Saving Feature Impresses Users
By
–
OpenAI's new seed saving feature is really impressive.
-
OpenAI Text-to-Speech API: Weird Experiments Thread
By
–
OpenAI text2speech API.
— fofr (@fofrAI) 7 novembre 2023
A thread of weird experiments 🧵
Based. pic.twitter.com/yseNPDeSiXOpenAI text2speech API. A thread of weird experiments Based.
-
Applied GenAI for Finance: Real-World Applications and Live Demos
By
–
Our very own Megan Kurka, is on stage with insights on applied #GenAI for the #Finance vertical. Discover real-world applications of #AI in finance happening right now with live demos! #H2OGenAIWorld #AI #GenAI
-
Jerry Liu Shares RAG App Production Optimization Tips
By
–
@jerryjliu0
, co-founder/CEO of @llama_index , is sharing real-time insights on building, evaluating, and optimizing your RAG App for production. Tune in now for practical tips! #RAGApp #H2OGenAIWorld #AI #GenAI -
LLMs Develop Apps Through Agent-Based Models and Strategy
By
–
LLMs can develop code-based apps, manage complex tasks, and construct business models with proper strategy. MetaGPT and Baby AGI models use distinct agents, guided by human SOPs for precision for the former.
-
AI Tutor Built with RAG and GPT-4 Technology
By
–
We created an AI tutor from existing documents using Retrieval Augmented Generation (RAG) and GPT-4. This method ensures answers stay within our dataset, enhancing accuracy.
-
Understanding Large Language Models Beyond Training and Fine-tuning
By
–
Comprehending large language models (LLMs) like GPT-4 or Llama 2 extends beyond training and fine-tuning, encompassing their impact and uses. It's more than coding skills, as even non-coders can benefit and add value.