Jagane Sundar

82 posts

Jagane Sundar

Jagane Sundar

@jagane

Technologist, AI and LLM Developer

San Francisco Bay Area Katılım Ağustos 2009
65 Takip Edilen159 Takipçiler
Marco Mascorro
Marco Mascorro@Mascobot·
🚨 New: We built @a16z's personal GPU AI Workstation Founders Edition - 4x NVIDIA RTX 6000 PRO Blackwell Max-Q (384GB total VRAM) - 8TB of NVMe PCIe 5.0 storage - AMD Threadripper PRO 7975WX (32 cores, 64 threads) - 256GB ECC DDR5 RAM - 1650Watts at peak (runs on a standard 15Amp/120V circuit). For training, AI research, and deploying models locally. A datacenter-class AI rig you can keep under your desk. We are planning to make a limited number of these a16z AI Workstations. Build guide + how you can make your own 👇
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Jagane Sundar
Jagane Sundar@jagane·
OpenAI O1 Model Token Count Explodes when Reasoning DeepLearning.AI has a free course on Reasoning with o1 presented by Colin Jarvis that is worthwhile. User tokens=15, Reasoning tokens=1152, generated tokens=121!
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Jagane Sundar
Jagane Sundar@jagane·
New Medium Article: Hadoop/HDFS Events to SQS in real time Hello all - I just finished writing a new article on medium. As the title indicates, I show how to send a stream of HDFS events (create, close, append, metadata, etc. to AWS SQS - jagane-sundar.medium.com/hadoop-hdfs-ev…
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Matei Zaharia
Matei Zaharia@matei_zaharia·
ChatGPT is super cool, but it can still get facts very wrong, like this example we used in 2021 (hai.stanford.edu/news/moderate-…). It even generates a second wrong fact (not named after governor). LLMs probably need to use tools like retrieval to avoid being BS-as-a-service.
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InfinStor
InfinStor@InfinStor·
Announcing MLflow Parallels - open source project for running AI compute in Kubernetes Develop and run complex AI workloads in Kubernetes and log in MLflow. Bridge MLflow and K8s! No arcane k8s or docker knowlege required mlflow-parallels.org #mlflow #kubernetes #ai #ml
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Jagane Sundar
Jagane Sundar@jagane·
MLflow is a terrific ML experiment tracking system, but it does not manage S3 credentials for artifact storage, i.e. you need to distribute S3 access keys separately. Our product InfinStor MLflow solves that problem #mlflow #infinstor #azureml #databricks
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Jagane Sundar
Jagane Sundar@jagane·
Why choose MLflow over other proprietary ML Experiment tracking systems? Because - a new version of pytorch or tensorflow or any other ML library will not break compatibility with your ML tracking system! #mlflow #infinstor #databricks #sagemaker #azureml
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Jagane Sundar
Jagane Sundar@jagane·
'Data is the new oil' is old news. 'AI models are the new oil'. Try MLflow - it is a terrific open source tool for managing models. #mlflow #mlops
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Jagane Sundar
Jagane Sundar@jagane·
@DowJonesSupport - Once I uninstalled the wsj app and restarted my iPhone and iPad the apps all updated fine
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