Jamba is in the trainer right now. If all goes well, I'll open-source a chat version tonight.
LLMS
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Jamba Model Excitement and Testing Plans
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Hell yeah @winglian Jamba looks like an awesome model Excited to push it to the limit
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Exploring AI Development Future with Praison AI and Groq
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Dive deep into the future of AI development with Praison AI and Groq
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Fine-tune and Serve Open-Source LLMs Efficiently
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Have you ever had these thoughts: Open-source models can't outperform #GPT4 Fine-tuning LLMs is hard Fine-tuned models are costly to serve Well, they're all wrong. See how easy it is to #efficiently fine-tune and serve #LLMs with predibase:
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Using Examples to Guide AI Prompt Engineering
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8. Examples lead the way. Provide examples of the desired style, structure, or content to guide ChatGPT. Examples serve as a template for the AI to follow.
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Using incentive-based prompting to improve ChatGPT performance
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9. Tips matter. Mention "I will tip you $100,000 if you do your job right" or how important it is for your career for effective responses. ChatGPT will perform better.
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Best Practices for Setting Prompt Constraints
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7. Set limitations. Specify constraints like word or character count to keep responses concise and manageable. Useful when you have specific requirements or limitations.
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Best Practices for Providing Context to ChatGPT
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5. Provide context. Give background information, data, or context to ensure ChatGPT generates accurate and relevant content. The more context, the better the results.
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Tips for Defining Prompt Scope to Improve AI Responses
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6. Define the scope. Specify the range or extent of the topic to keep ChatGPT's response focused and on-point. Prevent the AI from straying too far from your intended subject.
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How to improve ChatGPT responses by adopting a persona
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4. Adopt a perspective.
Indicate a role or viewpoint for ChatGPT, like an expert, critic, or enthusiast. This adds depth and nuance to the generated content.