PREDIBASE.COM: Keyword Density Checker

Total words: 2979 | 2-word phrases: 801 | 3-word phrases: 858 | 4-word phrases: 878

PAGE INFO

Title	Try to keep the title under 60 characters (79 characters) Predibase: The Developers Platform for Fine-tuning and Serving LLMs - Predibase
Description	Try to keep the meta description between 50 - 160 characters (156 characters) The fastest and easiest way to fine tune and serve any open-source large language model on state-of-the-art-infrastructure hosted within your private cloud.
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (37 characters) Big Model PerformanceSmall Model Cost

#	Keyword	Frequency	Density
1	it for free	4	0.47%
2	try it for	4	0.47%
3	finetune and serve	3	0.35%
4	any opensource llm	3	0.35%
5	for free microsoft	3	0.35%
6	serve many finetuned	3	0.35%
7	finetune and deploy	2	0.23%
8	named entity recognition	2	0.23%
9	such as quantization	2	0.23%
10	large language model	2	0.23%
11	as quantization lowrank	2	0.23%
12	an llm to	2	0.23%
13	on a single	2	0.23%
14	a single gpu	2	0.23%
15	opensource models in	2	0.23%
16	adaptation and memoryefficient	2	0.23%
17	predibase sign in	2	0.23%
18	and memoryefficient distributed	2	0.23%
19	and query the	2	0.23%
20	accuracy for json	2	0.23%
21	for your task	2	0.23%
22	for json generation	2	0.23%
23	memoryefficient distributed training	2	0.23%
24	to ensure your	2	0.23%
25	many finetuned llms	2	0.23%
26	dynamically serve many	2	0.23%
27	finetune any opensource	2	0.23%
28	query them in	1	0.12%
29	and query them	1	0.12%
30	read more about lorax	1	0.12%

#	Keyword	Frequency	Density
1	try it for free	4	0.46%
2	it for free microsoft	3	0.34%
3	adaptation and memoryefficient distributed	2	0.23%
4	dynamically serve many finetuned	2	0.23%
5	and memoryefficient distributed training	2	0.23%
6	accuracy for json generation	2	0.23%
7	such as quantization lowrank	2	0.23%
8	finetune any opensource llm	2	0.23%
9	on a single gpu	2	0.23%
10	serve many finetuned llms	2	0.23%
11	scales up and down	1	0.11%
12	up and down to	1	0.11%
13	and down to meet	1	0.11%
14	platform models pricing solutions	1	0.11%
15	down to meet the	1	0.11%
16	automatically scales up and	1	0.11%
17	meet the demands of	1	0.11%
18	your production environment dynamically	1	0.11%
19	production environment dynamically serve	1	0.11%
20	environment dynamically serve many	1	0.11%
21	together for over 100x	1	0.11%
22	for over 100x cost	1	0.11%
23	over 100x cost reduction	1	0.11%
24	100x cost reduction versus	1	0.11%
25	to meet the demands	1	0.11%
26	one deployment our scalable	1	0.11%
27	infra automatically scales up	1	0.11%
28	your jobs are successfully	1	0.11%
29	memoryefficient distributed training combined	1	0.11%
30	distributed training combined with	1	0.11%
31	rightsized compute to ensure	1	0.11%
32	compute to ensure your	1	0.11%
33	to ensure your jobs	1	0.11%
34	ensure your jobs are	1	0.11%
35	jobs are successfully trained	1	0.11%
36	serving infra automatically scales	1	0.11%
37	are successfully trained as	1	0.11%
38	efficiently as possible kick off the finetune job	1	0.11%
39	many finetuned llms in	1	0.11%
40	finetuned llms in one	1	0.11%

#	URL	Whois	Check
1	https://discord.gg/CBgdrGnZjy	Whois	discord.gg
2	https://github.com/ludwig-ai/ludwig	Whois	github.com
3	https://github.com/predibase/lorax	Whois	github.com
4	https://twitter.com/predibase	Whois	twitter.com
5	https://www.linkedin.com/company/predibase	Whois	linkedin.com
6	https://github.com/ludwig-ai/ludwig	Whois	github.com