Go Programming Language Reviews

Deepgram Reviews

1. suz11

   about 1 year ago
   Fast

   It's fast - but for an API, not the fastest speech-to-text. For a long while I hadn't done research and trusted them. Then tried Whisper and Picovoice. On-device latency is nothing comparable with cloud APIs. If latency is important go with Whisper or Picovoice. If customization is also important go with Picovoice.

   don't get me wrong it's still faster than amazon, Microsoft or Assemblyai

   🏁 Competitors: Picovoice.ai, Google Cloud Speech API, AssemblyAI, Speechmatics, Microsoft Azure, Amazon

   👍 Pros:    Fast|Fast sales|A free demo|Supports multiple languages

   👎 Cons:    Slow support for free customers|Limited free version

Go Programming Language mentions (295)

• Will AI make software engineers obsolete?

  Some months ago I tried out GitHub Copilot for free. At this time I started with Go and I was too lazy to read a book. I am a software engineer and normally use C# for programming. Copilot helped me to get started with the basics of Go. There are some stumbling blocks when you come from C#. - Source: dev.to / 6 days ago

• Simple Directory Watcher to Restart Dev Server

  I have been learning Go and I came across a pretty basic problem. I was practicing making a REST API web server and I wanted to enable hot reloading so my changes would be visible while I am changing the code. This is a common workflow when using a development server. - Source: dev.to / 9 days ago

• Component Generation with Figma API: Bridging the Gap Between Development and Design

  In today's fast-paced software development landscape, efficient workflows and clear responsibilities between development and design teams are crucial. One effective way to streamline these workflows is by automating component generation from design tools like Figma to code using powerful programming languages like Golang. This article will explore the process of converting Figma components to code, focusing on the... - Source: dev.to / 26 days ago

• AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions

  Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention. - Source: dev.to / 3 months ago

• How to use Retrieval Augmented Generation (RAG) for Go applications

  Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited... - Source: dev.to / 2 months ago

Deepgram mentions (28)

• Self-hosted offline transcription and diarization service with LLM summary

  For $5 for 20 hours of audio you can try https://deepgram.com. They give $200 of credit. - Source: Hacker News / about 1 month ago

• Building a Live Proctoring System to Detect Multiple Speakers

  Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / 6 months ago

• How do I begin building AI tools for myself?

  There are other AI-powered APIs out there to consider, too. For example, Deepgram can be used to transcribe audio (better than Whisper, offered by OpenAI), ElevenLabs can be used to generate speech from text (including using custom voices, which OpenAI's TTS can't currently do), etc. Depending on what you're trying to make, a combination of these services may be what you need. In any case, Python is going to be... Source: 7 months ago

• Use Langchain, Deepgram, and Mistral 7B to Build a Youtube Video Summarization App

  This guide delves deep into the world of YouTube video summarization, harnessing the power of cutting-edge technologies including Deepgram for superior audio transcription, Langchain for harvesting the power of the LLM, and Mistral 7B, a state-of-the-art and open-source LLM. - Source: dev.to / 8 months ago

• Create a realtime closed captioning solution with Deepgram and Ably

  Historically it's been challenging to provide closed captioning for live experiences, be it a live interview, a sports game with commentary, or a livestream. But Deepgram's AI tooling has changed this, allowing users to easily convert realtime streams of audio into accurate transcripts. - Source: dev.to / 8 months ago