The argument in favor of using filler text goes something like this: If you use arey real content in the Consulting Process anytime you reachtent.
👉 Register for ChatGPT & AI workshop for FREE: https://web.growthschool.io/ARR4👉 100% Discount for first 1000 people 🔥 Alibaba’s Qwen Team has released QwQ-32B, a 32 billion parameter open-source AI model that rivals much larger models like DeepSeek-R1 and GPT o1 Mini in reasoning, math, and coding tasks. Despite being significantly smaller, it delivers high-performance results
ByteDance has introduced Goku AI, a powerful image and video generation model that challenges OpenAI’s Sora by using Rectified Flow Transformers instead of diffusion-based methods, allowing for smoother and more efficient content creation. Trained on 160 million images and 36 million videos, Goku AI excels at text-to-image, text-to-video, and image-to-video generation, producing highly realistic motion,
Meta’s Llama 3.2 AI is making waves by surpassing major competitors like OpenAI, offering real-time voice interaction, vision capabilities, and advanced data processing. This new AI model can handle both text and images, making it perfect for tasks like document analysis and image captioning. With its 128,000-token context limit and support for eight languages, Llama
Microsoft’s new AI model, PHI 4, is a groundbreaking generative AI with 14 billion parameters, designed to outperform larger models like Google’s Gemini Pro and OpenAI’s GPT-4o in tasks like math and reasoning. Built using advanced synthetic datasets and innovative training techniques, PHI 4 achieves superior performance while remaining efficient and cost-effective. Available through Azure
