TL;DR: A crew of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE framework that improves LLM efficiency by enhancing and rising the enter context as a substitute of updating mannequin weights. Context is handled as a dwelling “playbook” maintained by three roles—Generator, Reflector, Curator—with small delta gadgets merged incrementally to keep away…
Let me share one thing that may sound acquainted: Your group has poured vital assets into AI initiatives, but the returns stay disappointingly linear. If you are nodding alongside, you are not alone. In reality, 85% of AI tasks fail to succeed in manufacturing in 2024. That’s a staggering statistic that retains me up at…
Let me share one thing which may shock you: up to 70% of Retrieval-Augmented Generation (RAG) programs fail in production. Yes, you learn that proper. While RAG seems to be magical in demos and proof-of-concepts, the truth of production deployment tells a really completely different story. I’m Shubham Maurya, Senior Data Scientist at Mastercard with…
Cisco has entered an more and more aggressive race to dominate AI data centre interconnect know-how, turning into the newest main participant to unveil purpose-built routing {hardware} for connecting distributed AI workloads throughout a number of amenities. The networking big unveiled its 8223 routing system on October 8, introducing what it claims is the industry’s…
Guest writer: Or Hillel, Green Lamp AI techniques aren’t experimental anymore, they’re embedded in on a regular basis choices that have an effect on thousands and thousands. Yet as these fashions stretch into essential areas like real-time provide chain routing, medical diagnostics, and monetary markets, one thing so simple as a stealthy information shift or…
Why deal with LLM inference as batched kernels to DRAM when a dataflow compiler can pipe tiles via on-chip FIFOs and stream converters?StreamTensor is a compiler that lowers PyTorch LLM graphs (GPT-2, Llama, Qwen, Gemma) into stream-scheduled dataflow accelerators on AMD’s Alveo U55C FPGA. The system introduces an iterative tensor (“itensor”) kind to encode tile/order…
Can a speech enhancer educated solely on actual noisy recordings cleanly separate speech and noise—with out ever seeing paired information? A crew of researchers from Brno University of Technology and Johns Hopkins University proposes Unsupervised Speech Enhancement utilizing Data-defined Priors (USE-DDP), a dual-stream encoder–decoder that separates any noisy enter into two waveforms—estimated clear speech and…
Neuphonic has launched NeuTTS Air, an open-source text-to-speech (TTS) speech language mannequin designed to run regionally in actual time on CPUs. The Hugging Face model card lists 748M parameters (Qwen2 structure) and ships in GGUF quantizations (This fall/Q8), enabling inference by way of llama.cpp/llama-cpp-python with out cloud dependencies. It is licensed underneath Apache-2.0 and features…
In this tutorial, we stroll by way of an superior implementation of WhisperX, the place we discover transcription, alignment, and word-level timestamps intimately. We arrange the surroundings, load and preprocess the audio, and then run the total pipeline, from transcription to alignment and evaluation, whereas guaranteeing reminiscence effectivity and supporting batch processing. Along the way…
Liquid AI has launched LFM2-Audio-1.5B, a compact audio–language basis mannequin that each understands and generates speech and textual content via a single end-to-end stack. It positions itself for low-latency, real-time assistants on resource-constrained units, extending the LFM2 household into audio whereas retaining a small footprint. https://www.liquid.ai/weblog/lfm2-audio-an-end-to-end-audio-foundation-model But what’s really new? a unified spine with disentangled…