Newsletter #38: Apply LLMs To Voice Data
Get more from your voice data with our new guides on using Large Language Models (LLMs) with LeMUR.
Review - Pretraining Representations for Data-Efficient Reinforcement LearningAssemblyai
LLM Gateway: The easiest and most reliable way to call multiple LLMsAssemblyai
Raw WebSocket Voice Agent with AssemblyAIAssemblyai
Real-time STT latency benchmarks: what "fast enough" means for voice agentsAssemblyai
Analyzing and scoring voice agent calls with the LLM GatewayAssemblyai
Review - SimCLS and RefSum - Summarization TechniquesAssemblyai
Cloud Security Trends & Challenges: Complete GuideCybersecurity Exchange
State of Speech: Our New Data Report Reveals ASR’s Untapped Potential - Deepgram Blog ⚡️Deepgram
Playing With P5.js: Creating a Voice-Controlled Game - Deepgram Blog ⚡️Deepgram
The Language of LGBTQ Inclusion and Allyship - Deepgram Blog ⚡️Deepgram
Build a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram
The Best (and Worst?) of Voice AI TechnologyDeepgram
No Code Transcription: Simplifying Workflows with Deepgram and Make.comDeepgram
Q&A with Deepgram’s New CPO, Ed AnuffDeepgram
The Most Important Work in AI Training Is Also the Most Overlooked - Deepgram Blog ⚡️Deepgram
Data Ingestion: 6 Ways to Speed Up Your ApplicationRedis
5 ways to automate Browse AIZapier
How to connect Google Sheets to NotionZapier
Pancakes Are Delicious and Data Centers Are for Free StuffThenewstack
Explore and Visualize Data the Apache Superset WayThenewstack
