Reactive Machines

Parallel Track Transformers: Enables Fast GPU Inference with Reduced Synchronization

Parallel Track Transformers: Enables Fast GPU Inference with Reduced Synchronization

Efficient large-scale inference of large transformer-based language models (LLMs) remains a significant programming challenge, often requiring multiple GPU parallelisms to…
Ukubonisana Okuzenzakalelayo kuhlola ukusetshenziswa kwereferensi yokubhala kabusha ye-chatbot

Ukubonisana Okuzenzakalelayo kuhlola ukusetshenziswa kwereferensi yokubhala kabusha ye-chatbot

Namuhla, sishicilela isampula ye-chatbot entsha yomthombo ovulekile ebonisa indlela yokusebenzisa impendulo evela kukuhlola Okuzenzakalelayo Kokubonisana ukuze uphindaphinde okuqukethwe okukhiqizwa, ubuze…
Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI

Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI

Enterprises are increasingly shifting from relying solely on large, general-purpose language models to developing specialized large language models (LLMs) fine-tuned…
Agent-to-agent interoperability: Using Amazon Nova 2 Lite and Amazon Nova Act in multi-agent systems

Agent-to-agent interoperability: Using Amazon Nova 2 Lite and Amazon Nova Act in multi-agent systems

My first attempt at building a travel planning agent looked exactly like most early prototypes: one big model, few tools,…
Imiphumela ehleliwe ku-Amazon Bedrock: Izimpendulo ze-AI ezihambisana ne-Schema

Imiphumela ehleliwe ku-Amazon Bedrock: Izimpendulo ze-AI ezihambisana ne-Schema

Namuhla, simemezela imiphumela ehlelekile ku-Amazon Bedrock—ikhono elishintsha ngokuyisisekelo ukuthi ungathola kanjani izimpendulo eziqinisekisiwe ze-JSON kumamodeli ayisisekelo ngokusebenzisa ukuqoshwa okunemingcele ukuze…
Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK

Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK

Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for…
Evaluate generative AI models with an Amazon Nova rubric-based LLM judge on Amazon SageMaker AI (Part 2)

Evaluate generative AI models with an Amazon Nova rubric-based LLM judge on Amazon SageMaker AI (Part 2)

In the post Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI, we introduced the Amazon Nova…
VSSFlow: Combining the Generation of Conditional Audio for Video and Speech with Collaborative Learning

VSSFlow: Combining the Generation of Conditional Audio for Video and Speech with Collaborative Learning

Video-based audio and speech production, including video-to-sound (V2S) and text-to-speech (VisualTTS) tasks, are often treated as separate tasks, with limited…
How Associa transforms document classification with the GenAI IDP Accelerator and Amazon Bedrock

How Associa transforms document classification with the GenAI IDP Accelerator and Amazon Bedrock

This is a guest post co-written with David Meredith and Josh Zacharias from Associa. Associa, North America’s largest community management…
Accelerating your marketing ideation with generative AI – Part 2: Generate custom marketing images from historical references

Accelerating your marketing ideation with generative AI – Part 2: Generate custom marketing images from historical references

Marketing teams face major challenges creating campaigns in today’s digital environment. They must navigate through complex data analytics and rapidly…
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