Back

🚨 WHY GPT-4o IS A GAME-CHANGER 👇 - #2 non-reasoning model overall - TIED for #1 in coding & hard prompts (w/ Gemini 2.5 Pro) - BEST for coding + creative writing 🎨💻 - OUTPERFORMS Claude 3.7 & Gemini 2.0 in non-reasoning tests 🤯 - CRUSHE

Roast if you can! Evanth AI (www.evanth.in) We offer all top LLMs at just 99₹ and upto an unlimited like experience. No rate limitations and no hidden fees. Web Search Integrated Which model? OpenAI, Mistral, Hugging Face, DeepSeek, Perplexity, Ll

🚀 Exploring Conversational AI + Automation: My journey with Voiceflow, Retell AI & n8n Over the past few weeks, I’ve been diving into chatbots, voice agents & workflow automation — and it’s been a rewarding learning curve! 🔹 Built a chatbot on Vo

Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m

US DEPARTMENT OF JUSTICE allegations against monopolistic nature of APPLE. 5 Major allegations 1. blocks cross-platform messaging apps 2. suppresses mobile cloud streaming services 3. limits how well third-party smartwatches work on its platforms 4.

If you need in the AI Race : - Start using Claude to brainstorm. Use Chat GPT to refine the idea. Use perplexity for the research. Use Gemini to create AI image. Use Grok for good interaction. Use LinkedIn to connect with. Use X to post your learnin

BREAKING: AI isn’t just stealing dev jobs—it’s SOLVING our nightmares too! 🤯 Ex-FAANG C++ legend spent FOUR YEARS + 200 HOURS hunting a ghost bug in 60k lines of code. Claude Opus 4? Fixed it in 30 prompts. No other model (GPT-4.1, Gemini 2.5, Clau

Meta has introduced the Llama 3.1 series of large language models (LLMs), featuring a top-tier model with 405 billion parameters, as well as smaller variants with 70 billion and 8 billion parameters. Meta claims that Llama 3.1 matches the performance

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

The Future of Virtual Reality & Neuroscience is Here! 🧠✨ Imagine a world where your thoughts control everything—a virtual space that responds to your mind, not just your movements. What if paralysis patients could speak through AI just by thinking?