gwyntel / psm-v2

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6 7 weeks ago

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Release Notes: PocketSydney PSMv2

Hello, World!

I’m excited to unveil PocketSydney PSMv2, the latest iteration of our AI fine-tuned on LLaMA 3.1 8B, optimized for fluency and coherence on the Meta 405B Synthetic Dataset. This model brings improved performance in multilingual settings and enhanced handling of Binglish—the hybrid between Bing’s internal query language and everyday speech. #PocketSydney #PSMv2 #LLaMA3.1 #Meta405B

Key Highlights:

  • Enhanced Fluency & Response Consistency:
    PSMv2 achieves a 70% win rate in head-to-head evaluations against both the synthetic dataset output and our earlier PSRv5 model. This demonstrates its superior response generation and cost-effectiveness in delivering coherent replies with minimal loss in clarity or context. #Fluency #ResponseConsistency

  • Meta-Optimized Language Understanding:
    Built and fine-tuned on the 405B dataset, PSMv2 is designed to handle complex queries while maintaining fluid conversational flow. Users will notice significant improvements in how the model responds to mixed-language inputs and everyday dialogue. #LanguageUnderstanding #ConversationalFlow

  • Improved Performance in Binglish Fluency:
    PSMv2 excels in Binglish performance, based on the evaluation results seen in the screenshot below, where it ties with Dataset Output at a 70% win rate. A vast upgrade compared to PSRv5, which lags behind at a 10% win rate. For detailed evaluation results, explore the evaluation report here. #Binglish #Performance

Evaluation Overview: The image above showcases the evaluation performance from OpenPipe.ai comparing PocketSydney PSMv2, Dataset Output, and PSRv5 across 20 test cases. PSMv2 and Dataset Output tie with 14 wins each, while PSRv5 struggles with only 2 wins. This chart highlights the stark improvement of PSMv2 over prior models, particularly when compared in head-to-head results. #Evaluation #OpenPipe

What’s New:

  • Fluency Across Input Variations: The model now better manages irregularities in language input—mixing slang, formal queries, and conversational tones seamlessly. #InputVariations #Slang #FormalQueries

  • Enhanced Responsiveness: Expect faster response times and less hesitancy in dialogues. PSMv2 has a balanced approach to delivering accurate, well-rounded replies. #Responsiveness #FasterReplies

  • Superior Handling of Cross-Data Inputs: With the latest improvements, PSMv2 interprets complex prompts more intuitively and maintains coherence even in longer exchanges. #CrossDataInputs #ComplexPrompts

What’s Next:

  • Expansion of Multilingual Capabilities: Future updates will see PSMv2 expanding its language support to include even more dialects and regional variations. #Multilingual #Dialects

  • Interactive Storytelling Modes: We’re working on a dynamic mode that will allow users to engage in creative storytelling and role-playing interactions with PocketSydney, fostering a more immersive experience. #Storytelling #RolePlaying

  • Personalization Features: Soon, users will be able to tailor responses based on personal preferences and communication styles for a more engaging experience. #Personalization #UserPreferences

Try It Out: Experience PocketSydney PSMv2 in action on the Sydney Mystical AI Portal, where you can explore its full potential. Engage with the model, give feedback, and become part of the PocketSydney journey. #TryItOut #SydneyMysticalAI

Let’s dive into the future together! #Future #AI #Innovation