#ips #stem_cells #nature #team #Induced_pluripotent_stem_cells #Yamanaka
https://www.nature.com/articles/d41586-022-02232-7
https://www.nature.com/articles/534310a
https://www.nature.com/articles/d41586-022-02232-7
https://www.nature.com/articles/534310a
Nature
Pioneering stem-cell trials in Japan report promising early results
Nature - The country has invested hundreds of millions of dollars into research on induced pluripotent stem cells to treat diseased organs.
#fusion #vc #venture_capital #investment #google #team #chevron #team #nuclear_fusion
https://www.cnbc.com/2022/07/19/google-chevron-invest-in-fusion-startup-tae-technologies.html
https://www.youtube.com/watch?v=oUknjLH4HEo&ab_channel=TheWhiteHouse
https://www.cnbc.com/2022/07/19/google-chevron-invest-in-fusion-startup-tae-technologies.html
https://www.youtube.com/watch?v=oUknjLH4HEo&ab_channel=TheWhiteHouse
CNBC
Google and Chevron invest in nuclear fusion startup that's raised $1.2 billion
Google, Chevron and a Japanese investment company have invested in TAE Technologies, a nuclear fusion startup, which has raised $1.2 billion so far.
#offline_rl #rl #drl #workflow #cql
A Workflow for Offline Model-Free Robotic
Reinforcement Learning
, Sergey Levine
1 UC Berkeley, 2 Stanford University (∗ Equal Contribution)
aviralk@berkeley.edu, asap7772@berkeley.edu
https://www.youtube.com/watch?v=h9R5LJX9b1I&ab_channel=ConferenceonRobotLearning
https://arxiv.org/abs/2109.10813
A Workflow for Offline Model-Free Robotic
Reinforcement Learning
, Sergey Levine
1 UC Berkeley, 2 Stanford University (∗ Equal Contribution)
aviralk@berkeley.edu, asap7772@berkeley.edu
https://www.youtube.com/watch?v=h9R5LJX9b1I&ab_channel=ConferenceonRobotLearning
https://arxiv.org/abs/2109.10813
https://www.youtube.com/watch?v=LbYrCpPo8k0&ab_channel=StanfordHAI
#reinforcement_learning #abtest #rct #stanford #team #mab #cost #experiement
#game_industry #history
https://www.youtube.com/watch?v=HbzO88fy_lI&ab_channel=stupidmadworld
https://neptune.ai/blog/data-lineage-in-machine-learning
#reinforcement_learning #abtest #rct #stanford #team #mab #cost #experiement
#game_industry #history
https://www.youtube.com/watch?v=HbzO88fy_lI&ab_channel=stupidmadworld
https://neptune.ai/blog/data-lineage-in-machine-learning
YouTube
Mohsen Bayati: The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandits
The stochastic multi-armed bandit (MAB) is a benchmark model for decision-making under uncertainty. MABs are used in a wide range of applications, from Internet advertising to healthcare. Now, new research has suggested that algorithms for MAB problems that…
#feature_neutralization #numerai #team
https://www.youtube.com/watch?v=YTZGt89B5r4&ab_channel=Numerai
https://www.youtube.com/watch?v=YTZGt89B5r4&ab_channel=Numerai
YouTube
Feature Neutralization: Some Theoretical Concerns, and interview with rsmillie94 | OHwAS04E04
Forum link to presentation: https://forum.numer.ai/t/feature-neutralisation-autocorrelation-presentation/2341
[00:50] Interview with rsmillie94 begins
[22:54] Presentation - Feature Neutralization: Some Theoretical Concerns
[23:14] Feature Value and Prediction…
[00:50] Interview with rsmillie94 begins
[22:54] Presentation - Feature Neutralization: Some Theoretical Concerns
[23:14] Feature Value and Prediction…
🦾 Test Suites for Validating ML Models & Data
#paper #validation #best_practice #github #example
Github: https://github.com/deepchecks/deepchecks
Example: https://docs.deepchecks.com/en/stable/examples/guides/quickstart_in_5_minutes.html
Docs: https://docs.deepchecks.com/
Paper: https://arxiv.org/abs/2203.08491v1
Blog: https://deepchecks.com/blog/
#paper #validation #best_practice #github #example
Github: https://github.com/deepchecks/deepchecks
Example: https://docs.deepchecks.com/en/stable/examples/guides/quickstart_in_5_minutes.html
Docs: https://docs.deepchecks.com/
Paper: https://arxiv.org/abs/2203.08491v1
Blog: https://deepchecks.com/blog/
GitHub
GitHub - deepchecks/deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open…
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test ...
#cloud
https://www.altexsoft.com/blog/datascience/comparing-machine-learning-as-a-service-amazon-microsoft-azure-google-cloud-ai-ibm-watson/
https://www.altexsoft.com/blog/datascience/comparing-machine-learning-as-a-service-amazon-microsoft-azure-google-cloud-ai-ibm-watson/
AltexSoft
Comparing Machine Learning as a Service: Amazon, Microsoft A
See a full comparison of Amazon machine learning products, Azure ml solutions, and Google machine learning offerings.
https://www.youtube.com/watch?v=2zW33LfffPc&ab_channel=YannicKilcher
#LLM #gpt #paper #yannic_kilcher #team #openai #team #LMM
https://openai.com/product/gpt-4
https://openai.com/research/gpt-4
https://cdn.openai.com/papers/gpt-4.pdf
#LLM #gpt #paper #yannic_kilcher #team #openai #team #LMM
https://openai.com/product/gpt-4
https://openai.com/research/gpt-4
https://cdn.openai.com/papers/gpt-4.pdf
YouTube
GPT-4 is here! What we know so far (Full Analysis)
#gpt4 #chatgpt #openai
References:
https://openai.com/product/gpt-4
https://openai.com/research/gpt-4
https://cdn.openai.com/papers/gpt-4.pdf
Links:
Homepage: https://ykilcher.com
Merch: https://ykilcher.com/merch
YouTube: https://www.youtube.com/c/yannickilcher…
References:
https://openai.com/product/gpt-4
https://openai.com/research/gpt-4
https://cdn.openai.com/papers/gpt-4.pdf
Links:
Homepage: https://ykilcher.com
Merch: https://ykilcher.com/merch
YouTube: https://www.youtube.com/c/yannickilcher…
#survey #distillation #Transformer #attention #gen_ai #llm
A Practical Survey on Faster and Lighter Transformers
https://arxiv.org/abs/2103.14636v2
#postgres #graphdb #graphmode #hack
Postgres: The Graph Database You Didn't Know You Had
https://www.dylanpaulus.com/posts/postgres-is-a-graph-database/
A Practical Survey on Faster and Lighter Transformers
https://arxiv.org/abs/2103.14636v2
#postgres #graphdb #graphmode #hack
Postgres: The Graph Database You Didn't Know You Had
https://www.dylanpaulus.com/posts/postgres-is-a-graph-database/
#jax #google #team #tf #pytorch
https://www.businessinsider.com/facebook-pytorch-beat-google-tensorflow-jax-meta-ai-2022-6
#rag #gen_ai #dpr
https://www.deeplearning.ai/the-batch/issue-195/
https://arxiv.org/abs/2209.10063
https://arxiv.org/abs/2004.04906
https://www.businessinsider.com/facebook-pytorch-beat-google-tensorflow-jax-meta-ai-2022-6
#rag #gen_ai #dpr
https://www.deeplearning.ai/the-batch/issue-195/
https://arxiv.org/abs/2209.10063
https://arxiv.org/abs/2004.04906
Business Insider
Google is quietly replacing the backbone of its AI product strategy after its last big push for dominance got overshadowed by Meta
Google is pushing a new project to replace TensorFlow. But it will be a major challenge to unseat Meta's PyTorch, which has won over developers.
https://github.com/LesnyRumcajs/grpc_bench/discussions/354
#benchmarks #scala_zio #scala_akka #dotnet #rust #cpp #multicpu #java #scala_fs2 #golang #go #grpc #hotspot #kotlin
#redis #memory #redis_streams
https://upstash.com/blog/redis-streams-beyond-memory
#benchmarks #scala_zio #scala_akka #dotnet #rust #cpp #multicpu #java #scala_fs2 #golang #go #grpc #hotspot #kotlin
#redis #memory #redis_streams
https://upstash.com/blog/redis-streams-beyond-memory
GitHub
2023-06-25 i9-13900KF (32) @ 5.500GHz, 64G RAM · LesnyRumcajs/grpc_bench · Discussion #354
Specs OS: Fedora release 38 (Thirty Eight) x86_64 Host: Z790 UD AX Kernel: 6.3.6-200.fc38.x86_64 CPU: 13th Gen Intel i9-13900KF (32) @ 5.500GHz GPU: NVIDIA GeForce RTX 4090 Memory: 64119MiB Results...
#hybrid_deployment #security #octopus #teamcity #cloud_deployment #mlops #github #github_actions #configuration_as_code #CAC
https://www.youtube.com/watch?v=BXBGwG2YjCo&ab_channel=OctopusDeploy
#llm #hype ? #expectations #gen_ai
https://venturebeat.com/ai/gartner-hype-cycle-places-generative-ai-on-the-peak-of-inflated-expectations/?ref=dl-staging-website.ghost.io
https://www.youtube.com/watch?v=BXBGwG2YjCo&ab_channel=OctopusDeploy
#llm #hype ? #expectations #gen_ai
https://venturebeat.com/ai/gartner-hype-cycle-places-generative-ai-on-the-peak-of-inflated-expectations/?ref=dl-staging-website.ghost.io
YouTube
The Art of Balancing Cloud and On-Prem Deployments
James Chatmas joins @jbristowe during a webinar to demonstrate how Octopus Deploy solves hybrid deployment challenges by letting you deploy to the cloud, containers, and on-premises environments. In particular, he shows how Octopus integrates with your DevOps…
#cloud #ml
https://www.yotec.net/comparison-of-machine-learning-as-a-service-systems-amazon-microsoft-azure-google-cloud-ai-ibm-watson/
#prompt_engineering #llm #zero_shot #reasoning
https://arxiv.org/abs/2205.11916
https://www.yotec.net/comparison-of-machine-learning-as-a-service-systems-amazon-microsoft-azure-google-cloud-ai-ibm-watson/
#prompt_engineering #llm #zero_shot #reasoning
https://arxiv.org/abs/2205.11916
Yotec
Comparison of Machine Learning as a Service systems: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson - Yotec
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
#prompt_engineering #llm #zero_shot / auto #CoT
https://arxiv.org/abs/2304.11657v2
Optimal operation of cryogenic calorimeters through deep reinforcement learning
G. Angloher, et al.
Max-Planck-Institut für Physik, Germany
https://arxiv.org/abs/2311.15147
#prompt_engineering #llm #zero_shot / auto #CoT
https://arxiv.org/abs/2304.11657v2
Optimal operation of cryogenic calorimeters through deep reinforcement learning
G. Angloher, et al.
Max-Planck-Institut für Physik, Germany
https://arxiv.org/abs/2311.15147
#llm #training #dpo #vs #rlhf #ppo #reinforcement_learning #rl #gen_ai #NeurIPS
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
https://arxiv.org/abs/2305.18290v2
#deepmind #mistral #team #dpo #benchmarks #moe #llm #gen_ai
Mixtral of experts. A high quality Sparse Mixture-of-Experts.
https://mistral.ai/news/mixtral-of-experts
#offline_rl #rl
Revisiting the Minimalist Approach to Offline Reinforcement Learning
https://arxiv.org/abs/2305.09836
#agi #gen_ai #benchmarks
Levels of AGI: Operationalizing Progress on the Path to AGI
https://arxiv.org/abs/2311.02462v2
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
https://arxiv.org/abs/2305.18290v2
#deepmind #mistral #team #dpo #benchmarks #moe #llm #gen_ai
Mixtral of experts. A high quality Sparse Mixture-of-Experts.
https://mistral.ai/news/mixtral-of-experts
#offline_rl #rl
Revisiting the Minimalist Approach to Offline Reinforcement Learning
https://arxiv.org/abs/2305.09836
#agi #gen_ai #benchmarks
Levels of AGI: Operationalizing Progress on the Path to AGI
https://arxiv.org/abs/2311.02462v2
arXiv.org
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Recent years have witnessed significant advancements in offline reinforcement learning (RL), resulting in the development of numerous algorithms with varying degrees of complexity. While these...