#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.
#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...
For Developers
https://youtu.be/-AB7b-XGaCU?si=I7sMBTvPb86JuSw6&t=496 #forecast #grok #tesla #team #open #llm #llama #vs #falcon #meta #team https://arxiv.org/abs/2311.16867
#team #berkeley #rag #haystack #haystack_ai
The Shift from Models to Compound AI Systems
https://bair.berkeley.edu/blog/2024/02/18/compound-ai-systems/
claims:
- SOTA results are increasingly obtained by AI systems with multiple components instead of monolithic models
- Key trends in 2024 and beyond
The Shift from Models to Compound AI Systems
https://bair.berkeley.edu/blog/2024/02/18/compound-ai-systems/
claims:
- SOTA results are increasingly obtained by AI systems with multiple components instead of monolithic models
- Key trends in 2024 and beyond
#kan #activation_func
KAN: Kolmogorov-Arnold Networks
https://arxiv.org/abs/2404.19756
#RAG #graphrag #team #microsoft
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
https://arxiv.org/abs/2404.16130
#gemma #recurrent_Attention #infini_attention
Gemma-10M Technical Overview
https://aksh-garg.medium.com/gemma-10m-technical-overview-900adc4fbeeb
KAN: Kolmogorov-Arnold Networks
https://arxiv.org/abs/2404.19756
#RAG #graphrag #team #microsoft
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
https://arxiv.org/abs/2404.16130
#gemma #recurrent_Attention #infini_attention
Gemma-10M Technical Overview
https://aksh-garg.medium.com/gemma-10m-technical-overview-900adc4fbeeb
arXiv.org
KAN: Kolmogorov-Arnold Networks
Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs have fixed activation...
#llm #gpt #cost #best_practice #RAG
ROUTELLM: LEARNING TO ROUTE LLMS WITH
PREFERENCE DATA
https://arxiv.org/pdf/2406.18665
Searching for Best Practices in Retrieval-Augmented
Generation
https://arxiv.org/pdf/2407.01219
ROUTELLM: LEARNING TO ROUTE LLMS WITH
PREFERENCE DATA
https://arxiv.org/pdf/2406.18665
Searching for Best Practices in Retrieval-Augmented
Generation
https://arxiv.org/pdf/2407.01219
#fingpt #rag #llm #gpt
https://arxiv.org/abs/2310.04027v1
#structured_output #vs #outlines #vs #mirascope #vs #instructor #langhchain #guidance
https://simmering.dev/blog/structured_output/
https://simmering.dev/blog/openai_structured_output/
#aws #team #sagemaker #genai #inference #better #autoscale #subminute #metrics #cloudwatch
https://aws.amazon.com/about-aws/whats-new/2024/07/amazon-sagemaker-faster-auto-scaling-generative-ai-models/
https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-inference-launches-faster-auto-scaling-for-generative-ai-models/
https://arxiv.org/abs/2310.04027v1
#structured_output #vs #outlines #vs #mirascope #vs #instructor #langhchain #guidance
https://simmering.dev/blog/structured_output/
https://simmering.dev/blog/openai_structured_output/
#aws #team #sagemaker #genai #inference #better #autoscale #subminute #metrics #cloudwatch
https://aws.amazon.com/about-aws/whats-new/2024/07/amazon-sagemaker-faster-auto-scaling-generative-ai-models/
https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-inference-launches-faster-auto-scaling-for-generative-ai-models/
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...
#LCLM #vs #RAG
In Defense of RAG in the Era of Long-Context Language Models
https://arxiv.org/pdf/2409.01666
#observability #opentelemetry #llm #traceloop #team
https://www.youtube.com/watch?v=KVgbERRPU4M
In Defense of RAG in the Era of Long-Context Language Models
https://arxiv.org/pdf/2409.01666
#observability #opentelemetry #llm #traceloop #team
https://www.youtube.com/watch?v=KVgbERRPU4M
#rag #es #cqrs #even_sourcing #human_feedback #kafka #apache_kafka #team
https://www.linkedin.com/pulse/beyond-human-feedback-bringing-cqrs-event-sourcing-ai-goturkarnam-t5vde?utm_source=share&utm_medium=member_ios&utm_campaign=share_via
https://www.linkedin.com/pulse/beyond-human-feedback-bringing-cqrs-event-sourcing-ai-goturkarnam-t5vde?utm_source=share&utm_medium=member_ios&utm_campaign=share_via
Linkedin
Beyond Human Feedback: Bringing CQRS & Event Sourcing into Vector Database-Driven AI Systems
In traditional AI systems, especially those involving recommendation engines or Retrieval-Augmented Generation (RAG), fine-tuning models is typically driven by explicit human feedback — thumbs up/down, star ratings, or click-through behavior. While this approach…
#agentic #rag #langchain #langgraph #aws #amazon #team
https://aws.amazon.com/blogs/machine-learning/build-multi-agent-systems-with-langgraph-and-amazon-bedrock/
https://aws.amazon.com/blogs/machine-learning/build-multi-agent-systems-with-langgraph-and-amazon-bedrock/
Amazon
Build multi-agent systems with LangGraph and Amazon Bedrock | Amazon Web Services
This post demonstrates how to integrate open-source multi-agent framework, LangGraph, with Amazon Bedrock. It explains how to use LangGraph and Amazon Bedrock to build powerful, interactive multi-agent applications that use graph-based orchestration.