Blogs

Why You Should Use Pre-Trained Models Versus Building Your Own

Cohere

Aug 30, 2022 5 minutes read Why You Should Use Pre-Trained Models Versus Building Your Own Adding language AI to your product?

Visit Site

Large Language Models and Where to Use Them: Part 1Cohere Build a smart Slack bot with language modelsCohere Use NLP to tackle online toxicity with content moderationCohere FDEs: Building Capacity, Not DependencyCohere Embed 5: Frontier Embedding Models for EnterpriseCohere Best Practices for Deploying Language ModelsCohere 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram Video: Building a Live Transcription Badge With Deepgram - Deepgram Blog ⚡️Deepgram Who Explains the Most? An Analysis of Educational YouTubers - Deepgram Blog ⚡️Deepgram The Language of LGBTQ Inclusion and Allyship - Deepgram Blog ⚡️Deepgram Calling Your Video Game With Your Phone: Part 1Deepgram Build a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram Top 3 Use Cases for Speech-to-Text in Gaming - Deepgram Blog ⚡️Deepgram 5 Reasons to Keep Contributing to Open-Source Projects - Deepgram Blog ⚡️Deepgram New Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram Automate Audio Transcription with Zapier + DeepgramDeepgram NoSQLNow! 2014 Case Study: Bleacher Report on Redis LabsRedis Redis Enterprise Rising!Redis The Proven Redis PerformanceRedis