#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
#prompt_compression #prompt_engineering #text_to_text #summarization #compression
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
https://arxiv.org/abs/2403.12968
#BCI #embeddings
https://academic.oup.com/cercor/article/31/9/4398/6249619
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
https://arxiv.org/abs/2403.12968
#BCI #embeddings
https://academic.oup.com/cercor/article/31/9/4398/6249619
OUP Academic
How Mother–Child Interactions are Associated with a Child’s Compliance
Abstract. While social interaction between a mother and her child has been found to play an important role in the child’s committed compliance, the underly
#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...
#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.
#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
A Survey on Efficient Inference for Large
Language Models
https://arxiv.org/pdf/2404.14294
#vLLM #vs #deepspeed #overview #survey #inference #optimization
Language Models
https://arxiv.org/pdf/2404.14294
#vLLM #vs #deepspeed #overview #survey #inference #optimization
#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...
#cancer #bacteria_programming #bacteria
https://www.cuimc.columbia.edu/news/hacking-bacteria-attack-cancer
#aws #sagemaker #autoscale #watchcloud
https://www.youtube.com/watch?v=1B2cRMoPpSk
https://www.cuimc.columbia.edu/news/hacking-bacteria-attack-cancer
#aws #sagemaker #autoscale #watchcloud
https://www.youtube.com/watch?v=1B2cRMoPpSk
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...
https://galileo.ai/blog/mastering-agents-langgraph-vs-autogen-vs-crew#:~:text=Autogen%3A%20Autogen%20supports%20human%2Din,flag%20in%20the%20task%20definition.
#crewai #vs #autogen #vs #langgraph ; #ai_agents
#crewai #vs #autogen #vs #langgraph ; #ai_agents
galileo.ai
Mastering Agents: LangGraph Vs Autogen Vs Crew AI
Select the best framework for building intelligent AI Agents
React: Synergizing reasoning and acting in language models
https://scholar.google.com/scholar?cites=15164492138064021676&as_sdt=2005&sciodt=0,5&hl=en
Self-refine: Iterative refinement with self-feedback
https://scholar.google.com/scholar?cites=8414000456339217032&as_sdt=2005&sciodt=0,5&hl=en
Communicative agents for software development
https://scholar.google.com/scholar?cites=168100539275365535&as_sdt=2005&sciodt=0,5&hl=en
Code generation with alphacodium: From prompt engineering to flow engineering
https://scholar.google.com/scholar?cites=4650119543966656826&as_sdt=2005&sciodt=0,5&hl=en
#ai_agents
https://scholar.google.com/scholar?cites=15164492138064021676&as_sdt=2005&sciodt=0,5&hl=en
Self-refine: Iterative refinement with self-feedback
https://scholar.google.com/scholar?cites=8414000456339217032&as_sdt=2005&sciodt=0,5&hl=en
Communicative agents for software development
https://scholar.google.com/scholar?cites=168100539275365535&as_sdt=2005&sciodt=0,5&hl=en
Code generation with alphacodium: From prompt engineering to flow engineering
https://scholar.google.com/scholar?cites=4650119543966656826&as_sdt=2005&sciodt=0,5&hl=en
#ai_agents
#nvidia #team #qpu
https://techcrunch.com/2024/11/02/quantum-machines-and-nvidia-use-machine-learning-to-get-closer-to-an-error-corrected-quantum-computer/
https://techcrunch.com/2024/11/02/quantum-machines-and-nvidia-use-machine-learning-to-get-closer-to-an-error-corrected-quantum-computer/
TechCrunch
Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer | TechCrunch
About a year and a half ago, quantum control startup Quantum Machines and Nvidia announced a deep partnership that would bring together Nvidia's DGX