In recognition of excellence in user-centric design, the @IBM API Connect team earns two prestigious industry awards: – The @reddot Design Award for #UX and #UX – The Stratus Award by @BigAwards Sichao Wu, IBM outlines contributing factors: https://
ibm.co/3ZG2XJw
AI
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IBM API Connect Wins Red Dot and Stratus Design Awards
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PaLM 2 Excels in Multilingual QA and Mathematical Reasoning
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Curious about the capabilities of PaLM 2? In our new paper explainer, we summarize the main contributions of PaLM 2, a model that excels in various tasks like multilingual question answering and arithmetic reasoning. PaLM 2 mathematical reasoning performance surpasses SoTA (at
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BNB Quantized Layers Initialization Performance Issues
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The issue is the creation of the bnb quantised layers, not the adapters. (They are fast to init anyway since they're small.)
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WhatsApp’s Engineering Challenges: Lessons Beyond ML Data Engineering
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Consider what Whatsapp achieved prior to acquisition with their team. And their eng challenges were many orders of magnitude harder than ML data eng!
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RLHF Training with Small Teams and Data Engineering
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I've seen plenty of folks doing RLHF with <5 dedicated people! (And I do all my own data engineering — it doesn't take too long after a few decades of practice…)
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AI-Powered Olympics: Technology Replaces Human Athletic Competition
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Esto que hoy es un CGI, en pocos años podría volverse una realidad.
— Juan Merodio (@juanmerodio) 4 octobre 2023
Te interesaría ver unos JJOO basados en la innovación tecnológica en lugar de en las capacidades humanas?
Yo personalmente prefiero el deporte tradicional, pero una sana competencia entre países aceleraría… pic.twitter.com/nkShPeNoRBEsto que hoy es un CGI, en pocos años podría volverse una realidad. Te interesaría ver unos JJOO basados en la innovación tecnológica en lugar de en las capacidades humanas? Yo personalmente prefiero el deporte tradicional, pero una sana competencia entre países aceleraría
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Model Sharding Challenges for Large GPU Deployment
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Not sure if there's a way to do that with model sharding — which is necessary if your model is too big to fit on the GPU.
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Hugging Face Performance Fix Coming Soon Official Update
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I chatted to the Hugging Face folks and they tell me an official fix for this performance issue is on the way! 😀 So hopefully my hacky workaround will be redundant soon…
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PEFT Kaiming Init Optimization Patch for Training
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The issue is that PEFT spends all that time doing unnecessarily doing kaiming init. So our code first patches the `init` module so that `kaiming_uniform_` does nothing at all. Here's a gist with the full code:
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Python contextlib.contextmanager decorator explained
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BTW this is a great example of the use of the handy `contextlib.contextmanager` decorator. Check out the docs if you haven't used it before: https://
docs.python.org/3/library/cont
extlib.html#contextlib.contextmanager
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