What makes Lamini different from using a single provider's APIs off the shelf?

There are three major reasons: 1. Data privacy: Lamini allows you to use your own private data in your secure environment. 2. Ownership and Flexibility: With Lamini, you can own the LLMs you train and easily swap out models as new ones become available. This allows you to build internal AI expertise and infrastructure while getting a big lift. 3. Control (cost, latency, throughput): Lamini gives you more control over the cost and latency of the model. You can customize these parameters to suit your engineering team's needs.

What does the LLM platform do?

The LLM platform runs and optimizes LLMs. It incorporates the latest technologies and research, including fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization. It leverages models such as GPT-3 and ChatGPT to make LLMs perform at their best.

What LLMs does the LLM platform use under the hood?

The LLM platform builds on the latest generation of models, including any LLM on HuggingFace and OpenAI's models. The choice of models depends on the specific use cases and data constraints of each customer. It ensures that the best models are used to meet the needs of the developers.

Can I export the model and run it myself?

Yes, you can deploy the LLM to any cloud service or on-premise environment. This includes setting up scaled inference for running the LLM in your own infrastructure. You have the option to export the weights from the Lamini platform and host the LLM yourself.

How expensive is it to use Lamini to build and use my model?

Lamini offers a free tier for training small LLMs. For enterprise customers, please refer to our contact page for pricing information. Enterprise customers have the advantage of downloading the model weights and have no limitations on model size and type, with control over throughput and latency.

Lamini: Lamini is an AI platform that streamlines enterprise software development with generative AI.

Name: Lamini
Rating: 5 (59 reviews)
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Lamini is an AI platform that streamlines enterprise software development with generative AI.

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Lamini Product Information

What is Lamini?

Lamini is an AI-powered LLM platform for enterprise software development. It allows developers to automate workflows, streamline the software development process, and increase productivity using generative AI and machine learning.

How to use Lamini?

To use Lamini, developers can follow these steps: 1. Sign up for a Lamini account. 2. Connect your enterprise data warehouse to Lamini platform. 3. Use Lamini's powerful Python library, REST APIs, or user interfaces to train, evaluate, and deploy customized, private models. 4. Leverage Lamini's AI capabilities to automate workflows and optimize software development processes. 5. Maintain complete control of your data privacy and security by deploying custom models privately on premise or in your VPC.

Lamini's Core Features

Generative AI and machine learning

Automation of workflows

Streamlined software development process

Increased productivity

Customized, private models

Complete data privacy and security

Lamini's Use Cases

Enterprise software development

Workflow automation

Software development process optimization

Increased productivity in software development

Custom model training and deployment

Data privacy and security in model deployment

FAQ from Lamini

What makes Lamini different from using a single provider's APIs off the shelf?
What does the LLM platform do?
What LLMs does the LLM platform use under the hood?
Can I export the model and run it myself?
How expensive is it to use Lamini to build and use my model?

Lamini Support Email & Customer service contact & Refund contact etc.

More Contact, visit the contact us page(https://www.lamini.ai/contact)
Lamini Company

Lamini Company name: PowerML Inc., DBA Lamini .
Lamini Login

Lamini Login Link: https://app.lamini.ai/
Lamini Pricing

Lamini Pricing Link: https://www.lamini.ai/pricing
Lamini Youtube

Lamini Youtube Link: https://www.youtube.com/@LaminiAI
Lamini Linkedin

Lamini Linkedin Link: https://www.linkedin.com/company/lamini-ai/
Lamini Twitter

Lamini Twitter Link: https://twitter.com/LaminiAI
Lamini Github

Lamini Github Link: https://lamini-ai.github.io/

Lamini Reviews (0)

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Lamini Pricing

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For the latest pricing, please visit this link: https://www.lamini.ai/pricing

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Page per Visit

3.32

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Feb 2023 - Mar 2025 All Traffic

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India

28.89%

United Kingdom

5.30%

Brazil

4.81%

Germany

3.52%

Feb 2023 - Mar 2025 Desktop Only

Traffic Sources

43.98%

Direct

41.99%

Referrals

8.30%

Social

4.81%

Display Ads

0.83%

Mail

0.10%

Feb 2023 - Mar 2025 Worldwide Desktop Only

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39:07

[ML News] Geoff Hinton leaves Google | Google has NO MOAT | OpenAI down half a billion

#google #openai #mlnews Updates from the world of Machine Learning and AI Great AI memes here: https://twitter.com/untitled01ipynb OUTLINE: 0:00 - Google I/O 2023: Generative AI in everything 0:20 - Anthropic announces 100k tokens context 0:35 - Intro 1:20 - Geoff Hinton leaves Google 7:00 - Google memo leaked: we have no moat 11:30 - OpenAI loses 540M 12:30 - Google AI: Product first 15:50 - Ilya Sutskever on safety vs competition 18:00 - AI works cannot be copyrighted 19:40 - OpenAI tries to trademark GPT 20:30 - StarCoder: accessible code model 21:40 - RedPyjama & OpenLlama 22:55 - Mosaic 7B model 23:50 - YoloNAS 24:10 - Mojo programming language 25:30 - Random helpful things 37:40 - DeepMind soccer robots References: https://twitter.com/weirddalle/status/1649908805788893185 https://www.nytimes.com/2023/05/01/technology/ai-google-chatbot-engineer-quits-hinton.html https://www.technologyreview.com/2023/05/01/1072478/deep-learning-pioneer-geoffrey-hinton-quits-google/ https://archive.ph/TrPoH https://twitter.com/DanHendrycks/status/1654560913939374080 https://twitter.com/ylecun/status/1654930029569101824 https://twitter.com/home https://twitter.com/ylecun/status/1654931495419621376 https://twitter.com/pkedrosky/status/1653955254181068801 https://www.semianalysis.com/p/google-we-have-no-moat-and-neither https://twitter.com/untitled01ipynb/media https://www.theinformation.com/articles/openais-losses-doubled-to-540-million-as-it-developed-chatgpt https://archive.ph/bKsdM https://www.washingtonpost.com/technology/2023/05/04/google-ai-stop-sharing-research/ https://twitter.com/giffmana/status/1654962145707130880 https://twitter.com/Ken_Goldberg/status/1651309843804987393 https://tsdr.uspto.gov/documentviewer?caseId=sn97733259&docId=PTD20230418160641&s=09#docIndex=1&page=1 https://twitter.com/osanseviero/status/1654230764513370112 https://huggingface.co/bigcode/starcoder https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement https://twitter.com/hardmaru/status/1654649036333514753 https://www.together.xyz/blog/redpajama-models-v1 https://huggingface.co/togethercomputer/RedPajama-INCITE-Base-3B-v1 https://github.com/openlm-research/open_llama https://www.mosaicml.com/blog/mpt-7b https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md https://www.modular.com/mojo https://www.aicrowd.com/challenges/hackaprompt-2023 https://learnprompting.org/ https://developer.nvidia.com/blog/nvidia-enables-trustworthy-safe-and-secure-large-language-model-conversational-systems/?ncid=prsy-552511 https://blogs.nvidia.com/blog/2023/04/25/ai-chatbot-guardrails-nemo/ https://lmql.ai/#distribution https://github.com/gventuri/pandas-ai?utm_source=pocket_reader https://lamini.ai/blog/introducing-lamini https://github.com/deep-floyd/IF https://huggingface.co/spaces/DeepFloyd/IF https://twitter.com/FaramaFound/status/1650952295901720576 https://txt.cohere.com/embedding-archives-wikipedia/?hsa_acc=509563538&hsa_ad=242008083&hsa_cam=626636963&hsa_grp=205646033&hsa_net=linkedin&hsa_ver=3&hss_channel=lcp-24024765 https://arxiv.org/abs/2304.12210 https://github.com/h2oai/h2ogpt https://huggingface.co/h2oai/h2ogpt-oasst1-512-20b https://github.com/h2oai/h2o-llmstudio https://ai.facebook.com/blog/ai-dataset-animating-kids-drawings/ https://www.camel-ai.org/ https://github.com/lightaime/camel?utm_source=pocket_reader https://huggingface.co/Writer/camel-5b-hf https://laion.ai/blog/paella/ https://magazine.sebastianraschka.com/p/finetuning-large-language-models https://pickapic.io/ https://github.com/yuvalkirstain/heroku_app https://huggingface.co/datasets/yuvalkirstain/PickaPic https://future.snorkel.ai/poster-contest/ https://twitter.com/d_feldman/status/1649466422018318338/photo/4 https://twitter.com/DeepMind/status/1651897358894919680 https://arxiv.org/abs/2304.13653 https://twitter.com/SmokeAwayyy/status/1652712832738422784 Links: Homepage: https://ykilcher.com Merch: https://ykilcher.com/merch YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ykilcher.com/discord LinkedIn: https://www.linkedin.com/in/ykilcher If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannickilcher Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Yannic Kilcher

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17:50

Sharon Zhou, Lamini.ai | Databricks Data + AI Summit 2023

Sharon Zhou, CEO & Co-Founder, Lamini.ai, discusses how her company is working to accelerate business transformation through the use of AI and ML with theCUBE host John Furrier at Databricks Data + AI Summit 2023 in San Francisco, CA.

SiliconANGLE theCUBE

Jun 29 2023

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14:05

MoME Reduces LLM Hallucinations by 10X!

More on the announcement: https://www.lamini.ai/blog/lamini-memory-tuning Check out our upcoming live trainings to learn more about building with LLMs: https://maven.com/dair-ai/prompt-engineering-llms #ai #machinelearning #engineering #coding

Elvis Saravia

Jun 14 2024

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