An open-source alternative to GPT-4 that performs
Everyone in the AI space has been talking about DBRX, a new open-source LLM from data intelligence platform and AI company, Databricks. It works similarly to OpenAI’s GPT-4, and it’s apparently very good.
A new milestone for open-source AI: Jonathan Frankle (Databricks) "shared data showing that across about a dozen or so benchmarks measuring the AI model’s ability to answer general knowledge questions, perform reading comprehension, solve vexing logical puzzles, and generate high-quality code, DBRX was better than every other open source model available," writes Will Knight for Wired .
Not only did DBRX outperform Llama 2 (Meta), Mixtral (Mistral), and Grok (X), it got close to GPT-4’s performance “on several scores.”
AssemblyAI — Powerful AI models to transcribe and understand speech
AssemblyAI’s Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Assembly AI has just launched Universal-1 ASR, a highly accurate, multilingual speech-to-text model.
Key features:
? Trained on 12.5 million hours (~3 petabytes) of training data
? 30% less likely to make errors compared to Whisper
? Costs $0.37 to process an hour of audio
? Supports languages including English, Spanish
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