Browsing: Multimodal

Black Forest Labs (BFL) has released FLUX 3, a multimodal foundation model that learns from images, videos and audio inside a single architecture. It is also…

On July 19, Alibaba’s Qwen team previewed Qwen3.8-Max-Preview, the next flagship in the Qwen family. The research team describes it as…

Thinking Machines Lab just released Inkling, their first model trained from scratch, weights are open, fine-tunable on Tinker. The lab pitches it as a base for…

Today, Meta Superintelligence Labs released Muse Spark 1.1. Alongside it, Meta opened a public preview of the Meta Model API. That second part is the structural…

print(“\n[5/10] Creating a synthetic multimodal report…”) monthly_data = pd.DataFrame( { “Month”: [“Jan”, “Feb”, “Mar”, “Apr”, “May”, “Jun”], “Query Volume”: [1200, 1700, 2100, 2600, 3300, 4100], “Hybrid…

Google DeepMind just released Gemma 4 12B, a dense multimodal model that strips out traditional encoders entirely. Vision and audio flow straight into the LLM backbone.…

EXTRACT_PATS = [ r”\\boxed\{([^{}]+)\}”, r”final\s+answer\s*[:=]\s*([^\n]+)”, r”answer\s*[:=]\s*([^\n]+)”, ] def extract_final(text): if not text: return “” for p in EXTRACT_PATS: m = re.search(p, text, flags=re.IGNORECASE) if m: return…

Simultaneous interpretation is one of the harder problems in applied AI. You’re asking a model to translate speech before the speaker has finished a sentence. Every…

, multimodal recommender system is not trivial especially when it needs to scale, adapt in near real time, and run reliably on cloud. In this post,…

Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds. That’s the entire interaction loop. Thinking…