Tensoic introduced Kannada Llama (Kan-LLaMA), aiming to overcome limitations of language models (LLMs) by emphasizing the importance of open models for natural language processing and machine translation. The paper presents the solution for enhancing efficiency of Llama-2 vocabulary for processing Kannada texts through low-level optimization, dataset pretraining, and collaboration for broader accessibility.
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Tensoic AI Releases Kan-Llama: A 7B Llama-2 LoRA PreTrained and FineTuned on ‘Kannada’ Tokens
Tensoic has introduced Kannada Llama (Kan-LLaMA) to address the limitations of language models (LLMs), focusing on proprietary characteristics, computational resources, and barriers to broader research community contributions. The importance of open models is emphasized to facilitate innovation in natural language processing (NLP) and machine translation.
Practical Solutions and Value:
- Enhancing the efficiency of Llama-2 vocabulary for processing Kannada texts
- Training a sentence fragment tokenizer on the Kannada text corpus and integrating it with the existing Llama-2 tokenizer
- Using low-level optimization (LoRA) during pretraining to conserve the weight of previously trained models and reduce the total number of trainable parameters
- Efficient computational training of LLMs low-level objects
- Commitment to modeling openness and collaboration with organizations such as Microsoft to make LLMs more accessible for research and public use
AI Solutions for Middle Managers:
If you want to evolve your company with AI, stay competitive, and use Tensoic AI’s Kan-Llama, consider the following practical steps:
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
For AI KPI management advice, connect with us at hello@itinai.com. For continuous insights into leveraging AI, stay tuned on our Telegram or Twitter.
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