Building BabyAura โ ...ย โขย 4m
That's a valid point but the point of Flict is to utilise multiple models like gpt for creativity, grok for realtime data, claude for reasoning, fine-tuned to provide holistic responses. Even at this stage please try prompting chatgpt and then use Flict and compare the depth of responses
Building BabyAura โ ...ย โขย 4m
How Flcit Works? Ask any question related to startup validation, market analysis, finance, risk and Flict runs a multi-agent debate and presents detailed verdicts with confidence scores while Finnaly judges the perspectives with strong reasoning and
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Letโs connect and bu...ย โขย 6m
Why Grok AI Outperformed ChatGPT & Gemini โ Without Spending Billions In 2025, leading AI companies invested heavily in R&D: ChatGPT: $75B Gemini: $80B Meta: $65B Grok AI, developed by Elon Musk's xAI, raised just $10B yet topped global benchmar
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Experimenting On lea...ย โขย 6m
I have DeepSeek , Grok , Qwen , ChatGPT , Gemini , perplexity and Claude apps. They all possess " similar " capabilities more or less and even many of them have given access to their top tier models for free. ( Of course with some limitations) So t
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I asked multiple AI platforms to suggest the best laptop around 1 Lakh and shared 10-12 points on minimum specifications I wanted. I tried to make my prompt better and to the point. But they all suggested different companies and models.. ChatGPT ->
See MoreAI Specialist | Rese...ย โขย 1y
New and Improved AI Models: Inflection-2: Google AI introduced Inflection-2, a large language model excelling at reasoning and following instructions. This could pave the way for AI assistants that can understand and complete complex tasks. Claude
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Anthropic Launches Claude 3.7 Sonnet: Anthropic unveiled Claude 3.7 Sonnet, a hybrid reasoning AI model offering faster, more nuanced responses. The model features "extended thinking mode" on paid plans, improving performance in mathematics, coding,
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LLM Post-Training: A Deep Dive into Reasoning LLMs This survey paper provides an in-depth examination of post-training methodologies in Large Language Models (LLMs) focusing on improving reasoning capabilities. While LLMs achieve strong performance
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