Blogs

Why Hidden Markov Models (HMMs) are like vintage cars

Deepgram

For most of what Automatic Speech Recognition is needed for, Hidden Markov Models and hybrid systems get the job done.

Visit Site

Why Hidden Markov Models (HMMs) are like vintage cars
From DAN to Universal Prompts: LLM JailbreakingDeepgram AI Phone Agent for Patient Intake: What Happens Before the AppointmentDeepgram Why TTS Latency Grows With Response LengthDeepgram Nova-3 Adds 12 New Speech-to-Text LanguagesDeepgram Voice Tech is Growing. How can that Happen Equitably?Deepgram Deepgram and AWS Amazon Connect Integration to Unlock Voice Data at ScaleDeepgram How we grew Mintlify by doing things that don't scaleMintlify 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify New Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram AI frameworks: Definition, types, and how to chooseZapier Discovered Stacks: One Place for All Your InfrastructurePulumi Neo Integrations: MCP Servers and Cloud CLIsPulumi How Hunch supercharged AI workflows with Modal SandboxesModal Anthropic integration with Modal brings scalable compute to Claude ScienceModal Pseudo-Randomly Adding Illustrations with CSS | CSS-TricksCss Tricks Svelte for the Experienced React DevCss Tricks Every Website is an EssayCss Tricks Summer Data Engineering RoadmapMotherduck Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours - CerebrasCerebras Cerebras Systems Enables GPU-Impossible™ Long Sequence Lengths Improving Accuracy in NaturalCerebras