#rust #graphQL #benchmarks #techempower #latency #performance #Robinhood #team #pros #cons
https://www.youtube.com/watch?v=QXJ0wKBLt-8
https://www.youtube.com/watch?v=QXJ0wKBLt-8
YouTube
Rust and GraphQL: A match made in heaven (CHRISTIAN LEGNITTO - Engineering Manager at Robinhood)
Learn GraphQL with Apollo Odyssey, our hands-on training and tutorial course platform - https://odyssey.apollographql.com/
Learn from our Apollo Docs - https://www.apollographql.com/docs/
What’s the easiest way to navigate your schema and query your graph?…
Learn from our Apollo Docs - https://www.apollographql.com/docs/
What’s the easiest way to navigate your schema and query your graph?…
#paper #2k20 #contrastive #self_supervised_learning #dl #ml #framework #vision_problem #vision #data_argumentation #nonlinear_transformation #imageNet #SimCLR #resNet50 #alexNet #vs #benchmarks #generative_approch #vs #descriminative_approch #mlp #relu #semi_supervised_learning
https://arxiv.org/abs/2002.05709
https://arxiv.org/abs/2002.05709
Mastering_Atari,_Go,_Chess_and_Shogi_by_Planning_with.pdf
2.6 MB
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
#deepmind #google #team #ai #dl #ml #list #paper #muZero #2k20 #benchmarks #alphaZero
https://arxiv.org/pdf/1911.08265.pdf
#deepmind #google #team #ai #dl #ml #list #paper #muZero #2k20 #benchmarks #alphaZero
https://arxiv.org/pdf/1911.08265.pdf
#gpu #dl #deep_learning #benchmarks #price #vs #2k20 #q1
https://lambdalabs.com/blog/choosing-a-gpu-for-deep-learning/
https://lambdalabs.com/blog/choosing-a-gpu-for-deep-learning/
Lambdalabs
Choosing the Best GPU for Deep Learning in 2020
GPU benchmarks for training State of the Art (SOTA) deep learning models. We measure each GPU's performance by batch capacity and more.
#monitoring #ml #dl #promQL #kolmogorov_smirnov_test #prometheus #performance #benchmarks #drift_detection #invalid_valies
https://www.youtube.com/watch?v=07WQL8SJQwg&t=930s&ab_channel=BasisAI
https://www.youtube.com/watch?v=07WQL8SJQwg&t=930s&ab_channel=BasisAI
YouTube
Monitoring machine learning model performance in production systems
BasisAI's Senior Software Engineer, Qiao Han, looks at some of the technical challenges in productionising machine learning, specifically looking at how model performance can be monitored continuously after deployment.
Learn practical techniques in detecting…
Learn practical techniques in detecting…
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...
#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...
#fingpt #rag #llm #gpt
https://arxiv.org/abs/2310.04027v1
#vectorstore #vectordb #benchmarks #features #comparison
(1)
https://zackproser.com/vectordatabases
(2)
https://zilliz.com/vector-database-benchmark-tool?database=ZillizCloud%2CMilvus%2CElasticCloud%2CPgVector%2CPinecone%2CQdrantCloud%2CWeaviateCloud&dataset=medium&filter=none%2Clow%2Chigh&tab=2
(3)
https://superlinked.com/vector-db-comparison
#fintech #use_case
https://arxiv.org/abs/2310.04027
https://arxiv.org/abs/2310.04027v1
#vectorstore #vectordb #benchmarks #features #comparison
(1)
https://zackproser.com/vectordatabases
(2)
https://zilliz.com/vector-database-benchmark-tool?database=ZillizCloud%2CMilvus%2CElasticCloud%2CPgVector%2CPinecone%2CQdrantCloud%2CWeaviateCloud&dataset=medium&filter=none%2Clow%2Chigh&tab=2
(3)
https://superlinked.com/vector-db-comparison
#fintech #use_case
https://arxiv.org/abs/2310.04027
arXiv.org
Enhancing Financial Sentiment Analysis via Retrieval Augmented...
Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their training...
#preseed #seed #vc #round #venture_capital #investment #startup #microventures
https://github.com/Atarity/How-To-Start-A-Startup?tab=readme-ov-file
https://www.wsj.com/articles/entrepreneurs-are-better-off-going-it-alone-study-says-11556503320
#lgtm #mimir #observability #griptime #benchmarks
https://medium.com/@greptime/greptimedb-vs-grafana-mimir-first-official-benchmark-for-high-volume-write-in-performance-8365920ee2e8
https://github.com/Atarity/How-To-Start-A-Startup?tab=readme-ov-file
https://www.wsj.com/articles/entrepreneurs-are-better-off-going-it-alone-study-says-11556503320
#lgtm #mimir #observability #griptime #benchmarks
https://medium.com/@greptime/greptimedb-vs-grafana-mimir-first-official-benchmark-for-high-volume-write-in-performance-8365920ee2e8
GitHub
GitHub - Atarity/How-To-Start-A-Startup: "How to Start a Startup" is the Y Combinator class made by real entrepreneurs
"How to Start a Startup" is the Y Combinator class made by real entrepreneurs - Atarity/How-To-Start-A-Startup
#LoRA #MoLE #ICLR
Mixture of LoRA Experts
https://openreview.net/forum?id=uWvKBCYh4S
#QPU #XLA #jax #jit
https://pennylane.ai/blog/2023/03/introducing-catalyst-quantum-just-in-time-compilation/
#benchmarks #clickhouse
https://benchmark.clickhouse.com/
Mixture of LoRA Experts
https://openreview.net/forum?id=uWvKBCYh4S
#QPU #XLA #jax #jit
https://pennylane.ai/blog/2023/03/introducing-catalyst-quantum-just-in-time-compilation/
#benchmarks #clickhouse
https://benchmark.clickhouse.com/
pennylane.ai
Introducing Catalyst: quantum just-in-time compilation | PennyLane Blog
Catalyst, our next-generation compilation engine, brings just-in-time compilation to quantum programming. Automatically compile hybrid programs for execution on CPUs, GPUs, and QPUs, and unlock new ways of programming quantum computers.
SCBENCH: A KV CACHE-CENTRIC ANALYSIS OF LONG-CONTEXT METHODS
https://arxiv.org/pdf/2412.10319
#MInference #LLMLingua #SnapKV #Jamba #KIVI #kvcache #benchmarks
#unsloth #team #distributed_sft #sft #fine_tuning
https://github.com/unslothai/unsloth/issues/1707#issuecomment-2658933732
https://arxiv.org/pdf/2412.10319
#MInference #LLMLingua #SnapKV #Jamba #KIVI #kvcache #benchmarks
#unsloth #team #distributed_sft #sft #fine_tuning
https://github.com/unslothai/unsloth/issues/1707#issuecomment-2658933732