Blogs on 'deepseek' tag
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Is It Safe to Use DeepSeek in India
Is DeepSeek safe to use in India? Here is how its data handling works, why some governments restrict it, and how to use it more safely, including locally.
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What DeepSeek V4 Flash Pricing Means for Indian Startups
DeepSeek V4 Flash costs about $0.14 per million input tokens. Here is what such cheap AI means for Indian startups, with real cost examples and cautions.
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What DeepSeek V4 Has Changed Six Months After Launch
DeepSeek V4 launched on 24 April 2026 as an open 1.6 trillion parameter model. Six months on, here is what it changed for prices, open AI and developers.
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Kimi vs DeepSeek and Which Chinese AI Model Developers Should Try First
Kimi K3 and DeepSeek V4 are China's leading open AI models. Here is how they compare on price, coding, context and access, and which to try first.
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How Should a Multi-Provider LLM App Handle Rate Limits and Retries?
How should an app respond when OpenAI, Claude, Grok, or DeepSeek rate-limits a request or returns a temporary error? This question explores retries, timeouts, streaming, and provider-specific limits.
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What Happens to an LLM Conversation When I Switch Providers Mid-Chat?
What should an app preserve when a conversation moves between OpenAI, Claude, Grok, or DeepSeek? This question explores chat history, tool activity, instructions, and context during a provider handoff.
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How Can I Regression-Test LLM Prompts Across Different Providers?
What’s a practical way to check prompt changes across OpenAI, Claude, Grok, DeepSeek, and Perplexity? Explore evaluation examples, rubrics, provider differences, and regression checks.
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Can I Reuse One Prompt Across OpenAI, Claude, Grok, DeepSeek, and Perplexity?
Can a single prompt deliver consistent results across OpenAI, Claude, Grok, DeepSeek, and Perplexity? Explore which prompt instructions travel well and where provider differences matter.
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How Do You Build One LLM App That Can Work With OpenAI, Claude, Grok, Perplexity, and DeepSeek?
What should a multi-provider LLM integration standardize, and where should it preserve differences? Explore API adapters, prompt portability, routing, and evaluation across OpenAI, Claude, Grok, Perplexity, and DeepSeek.
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Can I Switch AI Providers Mid-Conversation Without Losing Context?
What happens to chat history, tool calls, and system instructions when a conversation moves between OpenAI, Claude, Grok, or DeepSeek? This question looks at the details an integration needs to account for.