Part 3 in the series is out, by Mangpo Phothilimthana and @apaszke
, covering the intersection of ML and computer systems (distributed systems, compilers, hardware design, energy-efficient and low emissions computing, etc).
RESEARCH
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ML and Computer Systems Intersection: Distributed Systems Focus
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Patient Dignity and Expertise in AI-Driven Medicine
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Dignity-based medicine "Respecting the dignity of the patient as a knower suggests that expertise should also include the expertise of patients—on their body, their experience of pain or joy, and how they weight the risk of harm against benefit" https://
thelancet.com/journals/lance
t/article/PIIS0140-6736(23)00176-9/fulltext
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Google’s AI Research Policies Under Scrutiny
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No era Google. Con ellos, a pesar de estar en contra de sus políticas internas respecto a su manera de publicar sus investigaciones, me caen mu bien y creo que están haciendo un muy buen trabajo. Eso no quita que cuando hay que criticarles, se haga.
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Google and OpenAI: Open Source Data Training Controversy
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Que en concreto aquí se refieren a los datos de entrenamiento usados para los modelos instruct de GPT-3. Pero vamos, que open source no es sólo lo que os interese, colegas de Google
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Google’s hypocrisy: preaching open source while keeping PaLM closed
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Madre mía, el chiste se cuenta solo… Este párrafo de aquí está recogido en un nuevo paper de Google Research, donde hablan de la importancia del Open Source y poniendo como mal ejemplo a GPT-3. ¡ELLOS! QUE TIENEN A PALM BAJO LLAVE SIENDO SUPERIOR.
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T-Cell Engineering Advances Beyond Blood Cancers
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The promise for T-cell therapies has jumped from their success in refractory blood cancers to approaching solid tumors, autoimmune conditions, and anti-scarring, along with many new ways to engineer the cells https://
erictopol.substack.com/p/engineering-
t-cells
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Balancing Precision and Recall in Machine Learning Models
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#WisdomWednesday! A good model balances: #Precision: proportion of emails correctly identified as spam out of all the emails labeled as spam [60%] +
#Recall: proportion of spam emails correctly identified out of all the spam emails in the dataset [75%] #machinelearning -
ML Systems Strategy for Sophisticated Model Training
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Great #ML research requires great systems. Here we discuss some strategies we’re using to help serve and train sophisticated ML models while easing the complexity of implementation for end users. Read more at https://
goo.gle/3JEbmr6 -
Topic Modeling for Deeper Customer Feedback Analysis
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Gathering #CustomerFeedback? Great. But that might only tell part of the picture. Alteryx Intelligence Suite helps you dig deeper with tools like Topic Modeling. Read our blog by Sr. Data Scientist Viswanath Ravichandran to learn how: http://
ow.ly/2aRK50MHl9Y #CustomerData -
Constitutional AI: LLMs as Reward Model Annotators
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Worth checking out constitutional AI from @AnthropicAI where LLMs can be the reward model annotators by prompting well. The choice then comes to paying for GPU or Phillipines.